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CD ROM Paradise Collection 4 1995 Nov.iso
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1995-01-11
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99KB
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1,690 lines
PC-NORMIX Version 2.1
Wolfe Normal Mixture Analysis Procedure (January 1995 Revision)
Equal Covariance Matrices Within Groups
USER=**** JOHN H. WOLFE DATE USED=24/07/90
TITLE=*** FISHER-KENDALL PROBLEM= 50 FLOWERS FROM EACH OF 3 IRIS TYPES
COMMENTS= IRIS SETOSA,IRIS VERSICOLOR,IRIS VIRGINICA ARE THE TYPES
COMMENTS= SEPAL LENGTH,SEPAL WIDTH,PETAL LENGTH,PETAL WIDTH=VARIABLES
Hierarchical Grouping
Number of Groups
Rank Item Kmeans Stage 1 5 10 15 20 25 30
1 -1 1 0 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
2 -28 2 144 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
3 -29 3 124 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
4 -8 4 109 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
5 -40 5 148 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
6 -50 6 135 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
7 -21 7 73 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
8 -11 8 41 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
9 -49 9 147 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
10 -19 10 95 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
11 -15 11 27 X X X X X X X X X X X X X X X X X X X X X X X X X X X . . .
12 -32 12 40 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
13 -37 13 89 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
14 -5 14 12 X X X X X X X X X X X X . . . . . . . . . . . . . . . . . .
15 -38 15 105 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
16 -47 16 115 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
17 -45 17 67 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
18 -33 18 54 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
19 -16 19 24 X X X X X X X X X X X X X X X X X X X X X X X X . . . . . .
20 -34 20 75 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
21 -6 21 16 X X X X X X X X X X X X X X X X . . . . . . . . . . . . . .
22 -20 22 113 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
23 -22 23 106 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
24 -17 24 56 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
25 -23 25 49 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
26 -18 26 37 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
27 -41 27 143 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
28 -24 28 76 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
29 -27 29 117 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
30 -44 30 55 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
31 -2 31 6 X X X X X X . . . . . . . . . . . . . . . . . . . . . . . .
32 -35 32 134 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
33 -26 33 125 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
34 -10 34 99 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
35 -13 35 141 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
36 -36 36 51 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
37 -46 37 97 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
38 -42 38 26 X X X X X X X X X X X X X X X X X X X X X X X X X X . . . .
39 -3 39 15 X X X X X X X X X X X X X X X . . . . . . . . . . . . . . .
40 -48 40 130 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
41 -7 41 87 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
42 -43 42 111 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
43 -9 43 59 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
44 -39 44 138 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
45 -14 45 122 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
46 -4 46 38 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
47 -30 47 140 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
48 -31 48 123 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
49 -12 49 94 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
50 -25 50 58 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
Hierarchical Grouping
Number of Groups
Rank Item Kmeans Stage 1 5 10 15 20 25 30
51 -51 51 1 X . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
52 -53 52 98 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
53 -87 53 116 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
54 -66 54 72 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
55 -76 55 146 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
56 -55 56 52 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
57 -78 57 92 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
58 -59 58 44 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
59 -77 59 107 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
60 -72 60 35 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
61 -75 61 90 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
62 -98 62 120 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
63 -63 63 11 X X X X X X X X X X X . . . . . . . . . . . . . . . . . . .
64 -69 64 39 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
65 -88 65 80 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
66 -56 66 7 X X X X X X X . . . . . . . . . . . . . . . . . . . . . . .
67 -91 67 112 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
68 -68 68 45 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
69 -74 69 79 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
70 -64 70 32 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
71 -92 71 139 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
72 -84 72 57 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
73 -134 73 91 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
74 -73 74 13 X X X X X X X X X X X X X . . . . . . . . . . . . . . . . .
75 -120 75 85 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
76 -109 76 46 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
77 -135 77 23 X X X X X X X X X X X X X X X X X X X X X X X . . . . . . .
78 -104 78 20 X X X X X X X X X X X X X X X X X X X X . . . . . . . . . .
79 -117 79 108 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
80 -138 80 127 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
81 -52 81 4 X X X X . . . . . . . . . . . . . . . . . . . . . . . . . .
82 -57 82 100 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
83 -62 83 62 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
84 -79 84 96 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
85 -86 85 53 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
86 -89 86 25 X X X X X X X X X X X X X X X X X X X X X X X X X . . . . .
87 -96 87 101 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
88 -95 88 77 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
89 -97 89 128 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
90 -100 90 133 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
91 -60 91 9 X X X X X X X X X . . . . . . . . . . . . . . . . . . . . .
92 -67 92 50 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
93 -85 93 121 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
94 -107 94 36 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
95 -71 95 18 X X X X X X X X X X X X X X X X X X . . . . . . . . . . . .
96 -150 96 86 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
97 -128 97 74 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
98 -139 98 145 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
99 -102 99 31 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
100 -143 100 149 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
Hierarchical Grouping
Number of Groups
Rank Item Kmeans Stage 1 5 10 15 20 25 30
101 -114 101 63 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
102 -122 102 78 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
103 -54 103 5 X X X X X . . . . . . . . . . . . . . . . . . . . . . . . .
104 -90 104 118 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
105 -70 105 42 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
106 -81 106 142 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
107 -82 107 131 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
108 -80 108 65 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
109 -83 109 82 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
110 -93 110 137 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
111 -58 111 28 X X X X X X X X X X X X X X X X X X X X X X X X X X X X . .
112 -94 112 126 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
113 -61 113 61 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
114 -65 114 21 X X X X X X X X X X X X X X X X X X X X X . . . . . . . . .
115 -99 115 60 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
116 -101 116 2 X X . . . . . . . . . . . . . . . . . . . . . . . . . . . .
117 -137 117 71 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
118 -149 118 136 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
119 -115 119 17 X X X X X X X X X X X X X X X X X . . . . . . . . . . . . .
120 -116 120 33 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
121 -141 121 93 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
122 -145 122 102 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
123 -142 123 29 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X .
124 -146 124 110 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
125 -103 125 8 X X X X X X X X . . . . . . . . . . . . . . . . . . . . . .
126 -136 126 47 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
127 -105 127 19 X X X X X X X X X X X X X X X X X X X . . . . . . . . . . .
128 -129 128 103 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
129 -133 129 119 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
130 -111 130 34 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
131 -148 131 114 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
132 -113 132 66 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
133 -140 133 132 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
134 -110 134 30 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
135 -121 135 48 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
136 -144 136 104 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
137 -125 137 64 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
138 -112 138 14 X X X X X X X X X X X X X X . . . . . . . . . . . . . . . .
139 -124 139 83 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
140 -127 140 129 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
141 -147 141 84 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
142 -106 142 3 X X X . . . . . . . . . . . . . . . . . . . . . . . . . . .
143 -131 143 81 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
144 -123 144 70 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
145 -119 145 43 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
146 -108 146 22 X X X X X X X X X X X X X X X X X X X X X X . . . . . . . .
147 -130 147 88 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
148 -126 148 68 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
149 -118 149 10 X X X X X X X X X X . . . . . . . . . . . . . . . . . . . .
150 -132 150 69 X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
PC-NORMIX Version 2.1
Wolfe Normal Mixture Analysis Procedure (January 1995 Revision)
Equal Covariance Matrices Within Groups
USER=**** JOHN H. WOLFE DATE USED=24/07/90
TITLE=*** FISHER-KENDALL PROBLEM= 50 FLOWERS FROM EACH OF 3 IRIS TYPES
COMMENTS= IRIS SETOSA,IRIS VERSICOLOR,IRIS VIRGINICA ARE THE TYPES
COMMENTS= SEPAL LENGTH,SEPAL WIDTH,PETAL LENGTH,PETAL WIDTH=VARIABLES
Sample Size = 150
Number of Variables = 4
Number of Types = 3
Iteration Number 0
Log Likelihood of 3 Types in this sample = .00000000
Characteristics of the Whole Sample
Means
1 2 3 4
5.8433 3.0573 3.7580 1.1993
Standard Deviations
1 2 3 4
.8253 .4344 1.7594 .7597
Correlations
1 2 3 4
1.0000 -.1176 .8718 .8179
-.1176 1.0000 -.4284 -.3661
.8718 -.4284 1.0000 .9629
.8179 -.3661 .9629 1.0000
Within-group Standard Deviations and Correlations
Standard Deviations
1 2 3 4
.4602 .3258 .4728 .2153
Correlations
1 2 3 4
1.0000 .4832 .6301 .1866
.4832 1.0000 .2651 .3323
.6301 .2651 1.0000 .5724
.1866 .3323 .5724 1.0000
Means
Type Lambda 1 2 3 4
1 .3333 5.0060 3.4280 1.4620 .2460
2 .4333 5.9523 2.7662 4.4692 1.4277
3 .2333 6.8371 3.0686 5.7171 2.1371
PC-NORMIX Version 2.1
Wolfe Normal Mixture Analysis Procedure (January 1995 Revision)
Equal Covariance Matrices Within Groups
USER=**** JOHN H. WOLFE DATE USED=24/07/90
TITLE=*** FISHER-KENDALL PROBLEM= 50 FLOWERS FROM EACH OF 3 IRIS TYPES
COMMENTS= IRIS SETOSA,IRIS VERSICOLOR,IRIS VIRGINICA ARE THE TYPES
COMMENTS= SEPAL LENGTH,SEPAL WIDTH,PETAL LENGTH,PETAL WIDTH=VARIABLES
Iteration 1 Log likelihood of 3 types in this sample = 284.17583
Iteration 2 Log likelihood of 3 types in this sample = 288.04476
Iteration 3 Log likelihood of 3 types in this sample = 290.52363
Iteration 4 Log likelihood of 3 types in this sample = 291.99781
Iteration 5 Log likelihood of 3 types in this sample = 292.94977
Iteration 6 Log likelihood of 3 types in this sample = 293.60716
Iteration 7 Log likelihood of 3 types in this sample = 294.06220
Iteration 8 Log likelihood of 3 types in this sample = 294.33284
Iteration 9 Log likelihood of 3 types in this sample = 294.46401
Iteration 10 Log likelihood of 3 types in this sample = 294.52858
Iteration 11 Log likelihood of 3 types in this sample = 294.57090
Iteration 12 Log likelihood of 3 types in this sample = 294.60802
Iteration 13 Log likelihood of 3 types in this sample = 294.64664
Iteration 14 Log likelihood of 3 types in this sample = 294.69056
Iteration 15 Log likelihood of 3 types in this sample = 294.74217
Iteration 16 Log likelihood of 3 types in this sample = 292.72269
Iteration 17 Log likelihood of 3 types in this sample = 294.91252
Iteration 18 Log likelihood of 3 types in this sample = 294.98639
Iteration 19 Log likelihood of 3 types in this sample = 295.00460
Iteration 20 Log likelihood of 3 types in this sample = 295.00813
Iteration 21 Log likelihood of 3 types in this sample = 294.95116
Iteration 22 Log likelihood of 3 types in this sample = 295.00578
Iteration 23 Log likelihood of 3 types in this sample = 295.00789
Iteration 24 Log likelihood of 3 types in this sample = 295.00864
Iteration 25 Log likelihood of 3 types in this sample = 295.00892
Iteration 26 Log likelihood of 3 types in this sample = 295.00903
PC-NORMIX Version 2.1
Wolfe Normal Mixture Analysis Procedure (January 1995 Revision)
Equal Covariance Matrices Within Groups
USER=**** JOHN H. WOLFE DATE USED=24/07/90
TITLE=*** FISHER-KENDALL PROBLEM= 50 FLOWERS FROM EACH OF 3 IRIS TYPES
COMMENTS= IRIS SETOSA,IRIS VERSICOLOR,IRIS VIRGINICA ARE THE TYPES
COMMENTS= SEPAL LENGTH,SEPAL WIDTH,PETAL LENGTH,PETAL WIDTH=VARIABLES
Sample Size = 150
Number of Variables = 4
Number of Types = 3
Iteration Number 27
Log Likelihood of 3 Types in this sample = 295.00908
Characteristics of the Whole Sample
Means
1 2 3 4
5.8433 3.0573 3.7580 1.1993
Standard Deviations
1 2 3 4
.8253 .4344 1.7594 .7597
Correlations
1 2 3 4
1.0000 -.1176 .8718 .8179
-.1176 1.0000 -.4284 -.3661
.8718 -.4284 1.0000 .9629
.8179 -.3661 .9629 1.0000
Within-group Standard Deviations and Correlations
Standard Deviations
1 2 3 4
.5137 .3346 .4319 .1993
Correlations
1 2 3 4
1.0000 .5227 .7646 .3842
.5227 1.0000 .3537 .4496
.7646 .3537 1.0000 .4877
.3842 .4496 .4877 1.0000
Means
Type Lambda 1 2 3 4
1 .3333 5.0060 3.4280 1.4620 .2460
2 .3296 5.9423 2.7607 4.2588 1.3193
3 .3370 6.5746 2.9808 5.5392 2.0250
PC-NORMIX Version 2.1
Wolfe Normal Mixture Analysis Procedure (January 1995 Revision)
Equal Covariance Matrices Within Groups
USER=**** JOHN H. WOLFE DATE USED=24/07/90
TITLE=*** FISHER-KENDALL PROBLEM= 50 FLOWERS FROM EACH OF 3 IRIS TYPES
COMMENTS= IRIS SETOSA,IRIS VERSICOLOR,IRIS VIRGINICA ARE THE TYPES
COMMENTS= SEPAL LENGTH,SEPAL WIDTH,PETAL LENGTH,PETAL WIDTH=VARIABLES
Discriminant Functions
1 2
Variable 1 .9622 -.1517
Variable 2 1.3820 2.3015
Variable 3 -2.2273 -.8711
Variable 4 -2.9115 2.8818
Eigenvalues of B/W= 31.5080 .3215
PC-NORMIX Version 2.1
Wolfe Normal Mixture Analysis Procedure (January 1995 Revision)
Equal Covariance Matrices Within Groups
USER=**** JOHN H. WOLFE DATE USED=24/07/90
TITLE=*** FISHER-KENDALL PROBLEM= 50 FLOWERS FROM EACH OF 3 IRIS TYPES
COMMENTS= IRIS SETOSA,IRIS VERSICOLOR,IRIS VIRGINICA ARE THE TYPES
COMMENTS= SEPAL LENGTH,SEPAL WIDTH,PETAL LENGTH,PETAL WIDTH=VARIABLES
Seq.# Cluster Membership Probabilities
1 2 3
1 1 1.000 .000 .000
2 1 1.000 .000 .000
3 1 1.000 .000 .000
4 1 1.000 .000 .000
5 1 1.000 .000 .000
6 1 1.000 .000 .000
7 1 1.000 .000 .000
8 1 1.000 .000 .000
9 1 1.000 .000 .000
10 1 1.000 .000 .000
11 1 1.000 .000 .000
12 1 1.000 .000 .000
13 1 1.000 .000 .000
14 1 1.000 .000 .000
15 1 1.000 .000 .000
16 1 1.000 .000 .000
17 1 1.000 .000 .000
18 1 1.000 .000 .000
19 1 1.000 .000 .000
20 1 1.000 .000 .000
21 1 1.000 .000 .000
22 1 1.000 .000 .000
23 1 1.000 .000 .000
24 1 1.000 .000 .000
25 1 1.000 .000 .000
26 1 1.000 .000 .000
27 1 1.000 .000 .000
28 1 1.000 .000 .000
29 1 1.000 .000 .000
30 1 1.000 .000 .000
31 1 1.000 .000 .000
32 1 1.000 .000 .000
33 1 1.000 .000 .000
34 1 1.000 .000 .000
35 1 1.000 .000 .000
36 1 1.000 .000 .000
37 1 1.000 .000 .000
38 1 1.000 .000 .000
39 1 1.000 .000 .000
40 1 1.000 .000 .000
41 1 1.000 .000 .000
42 1 1.000 .000 .000
43 1 1.000 .000 .000
44 1 1.000 .000 .000
45 1 1.000 .000 .000
PC-NORMIX Version 2.1
Wolfe Normal Mixture Analysis Procedure (January 1995 Revision)
Equal Covariance Matrices Within Groups
USER=**** JOHN H. WOLFE DATE USED=24/07/90
TITLE=*** FISHER-KENDALL PROBLEM= 50 FLOWERS FROM EACH OF 3 IRIS TYPES
COMMENTS= IRIS SETOSA,IRIS VERSICOLOR,IRIS VIRGINICA ARE THE TYPES
COMMENTS= SEPAL LENGTH,SEPAL WIDTH,PETAL LENGTH,PETAL WIDTH=VARIABLES
Seq.# Cluster Membership Probabilities
1 2 3
46 1 1.000 .000 .000
47 1 1.000 .000 .000
48 1 1.000 .000 .000
49 1 1.000 .000 .000
50 1 1.000 .000 .000
51 2 .000 1.000 .000
52 2 .000 .999 .001
53 2 .000 .997 .003
54 2 .000 1.000 .000
55 2 .000 .997 .003
56 2 .000 .998 .002
57 2 .000 .979 .021
58 2 .000 1.000 .000
59 2 .000 1.000 .000
60 2 .000 .999 .001
61 2 .000 1.000 .000
62 2 .000 .999 .001
63 2 .000 1.000 .000
64 2 .000 .994 .006
65 2 .000 1.000 .000
66 2 .000 1.000 .000
67 2 .000 .967 .033
68 2 .000 1.000 .000
69 2 .000 .979 .021
70 2 .000 1.000 .000
71 3 .000 .133 .867
72 2 .000 1.000 .000
73 2 .000 .868 .132
74 2 .000 1.000 .000
75 2 .000 1.000 .000
76 2 .000 1.000 .000
77 2 .000 .999 .001
78 2 .000 .704 .296
79 2 .000 .991 .009
80 2 .000 1.000 .000
81 2 .000 1.000 .000
82 2 .000 1.000 .000
83 2 .000 1.000 .000
84 3 .000 .127 .873
85 2 .000 .929 .071
86 2 .000 .988 .012
87 2 .000 .999 .001
88 2 .000 1.000 .000
89 2 .000 1.000 .000
90 2 .000 1.000 .000
PC-NORMIX Version 2.1
Wolfe Normal Mixture Analysis Procedure (January 1995 Revision)
Equal Covariance Matrices Within Groups
USER=**** JOHN H. WOLFE DATE USED=24/07/90
TITLE=*** FISHER-KENDALL PROBLEM= 50 FLOWERS FROM EACH OF 3 IRIS TYPES
COMMENTS= IRIS SETOSA,IRIS VERSICOLOR,IRIS VIRGINICA ARE THE TYPES
COMMENTS= SEPAL LENGTH,SEPAL WIDTH,PETAL LENGTH,PETAL WIDTH=VARIABLES
Seq.# Cluster Membership Probabilities
1 2 3
91 2 .000 .999 .001
92 2 .000 .998 .002
93 2 .000 1.000 .000
94 2 .000 1.000 .000
95 2 .000 1.000 .000
96 2 .000 1.000 .000
97 2 .000 1.000 .000
98 2 .000 1.000 .000
99 2 .000 1.000 .000
100 2 .000 1.000 .000
101 3 .000 .000 1.000
102 3 .000 .001 .999
103 3 .000 .000 1.000
104 3 .000 .001 .999
105 3 .000 .000 1.000
106 3 .000 .000 1.000
107 3 .000 .022 .978
108 3 .000 .000 1.000
109 3 .000 .000 1.000
110 3 .000 .000 1.000
111 3 .000 .008 .992
112 3 .000 .002 .998
113 3 .000 .000 1.000
114 3 .000 .000 1.000
115 3 .000 .000 1.000
116 3 .000 .000 1.000
117 3 .000 .005 .995
118 3 .000 .000 1.000
119 3 .000 .000 1.000
120 3 .000 .302 .698
121 3 .000 .000 1.000
122 3 .000 .000 1.000
123 3 .000 .000 1.000
124 3 .000 .094 .906
125 3 .000 .000 1.000
126 3 .000 .003 .997
127 3 .000 .162 .838
128 3 .000 .089 .911
129 3 .000 .000 1.000
130 3 .000 .148 .852
131 3 .000 .000 1.000
132 3 .000 .000 1.000
133 3 .000 .000 1.000
134 2 .000 .746 .254
135 3 .000 .073 .927
PC-NORMIX Version 2.1
Wolfe Normal Mixture Analysis Procedure (January 1995 Revision)
Equal Covariance Matrices Within Groups
USER=**** JOHN H. WOLFE DATE USED=24/07/90
TITLE=*** FISHER-KENDALL PROBLEM= 50 FLOWERS FROM EACH OF 3 IRIS TYPES
COMMENTS= IRIS SETOSA,IRIS VERSICOLOR,IRIS VIRGINICA ARE THE TYPES
COMMENTS= SEPAL LENGTH,SEPAL WIDTH,PETAL LENGTH,PETAL WIDTH=VARIABLES
Seq.# Cluster Membership Probabilities
1 2 3
136 3 .000 .000 1.000
137 3 .000 .000 1.000
138 3 .000 .004 .996
139 3 .000 .123 .877
140 3 .000 .001 .999
141 3 .000 .000 1.000
142 3 .000 .000 1.000
143 3 .000 .001 .999
144 3 .000 .000 1.000
145 3 .000 .000 1.000
146 3 .000 .000 1.000
147 3 .000 .006 .994
148 3 .000 .002 .998
149 3 .000 .000 1.000
150 3 .000 .009 .991
PC-NORMIX Version 2.1
Wolfe Normal Mixture Analysis Procedure (January 1995 Revision)
Equal Covariance Matrices Within Groups
USER=**** JOHN H. WOLFE DATE USED=24/07/90
TITLE=*** FISHER-KENDALL PROBLEM= 50 FLOWERS FROM EACH OF 3 IRIS TYPES
COMMENTS= IRIS SETOSA,IRIS VERSICOLOR,IRIS VIRGINICA ARE THE TYPES
COMMENTS= SEPAL LENGTH,SEPAL WIDTH,PETAL LENGTH,PETAL WIDTH=VARIABLES
Seq.# Cluster Discriminant Scores
1 2
1 1 8.06 .31
2 1 7.17 -.81
3 1 7.48 -.24
4 1 6.80 -.63
5 1 8.10 .55
6 1 7.65 1.50
7 1 7.15 .44
8 1 7.60 .00
9 1 6.56 -.97
10 1 7.38 -.96
11 1 8.40 .63
12 1 7.19 -.05
13 1 7.37 -1.09
14 1 7.56 -.75
15 1 9.87 1.52
16 1 9.07 2.78
17 1 8.54 1.84
18 1 7.77 .59
19 1 8.09 .93
20 1 7.96 1.20
21 1 7.54 -.23
22 1 7.53 1.26
23 1 8.61 .96
24 1 6.24 .45
25 1 6.52 -.31
26 1 6.83 -1.00
27 1 6.80 .49
28 1 7.93 .20
29 1 8.02 .06
30 1 6.81 -.50
31 1 6.77 -.74
32 1 7.40 .52
33 1 9.05 1.30
34 1 9.41 1.86
35 1 7.09 -.67
36 1 7.99 -.20
37 1 8.67 .33
38 1 8.29 .28
39 1 6.92 -.65
40 1 7.70 -.01
41 1 7.89 .70
42 1 5.75 -1.99
43 1 7.19 -.19
44 1 6.35 1.30
45 1 6.78 1.14
PC-NORMIX Version 2.1
Wolfe Normal Mixture Analysis Procedure (January 1995 Revision)
Equal Covariance Matrices Within Groups
USER=**** JOHN H. WOLFE DATE USED=24/07/90
TITLE=*** FISHER-KENDALL PROBLEM= 50 FLOWERS FROM EACH OF 3 IRIS TYPES
COMMENTS= IRIS SETOSA,IRIS VERSICOLOR,IRIS VIRGINICA ARE THE TYPES
COMMENTS= SEPAL LENGTH,SEPAL WIDTH,PETAL LENGTH,PETAL WIDTH=VARIABLES
Seq.# Cluster Discriminant Scores
1 2
46 1 6.79 -.51
47 1 8.03 .82
48 1 7.16 -.31
49 1 8.30 .65
50 1 7.69 -.14
51 2 -1.37 -.09
52 2 -1.80 .46
53 2 -2.34 -.19
54 2 -2.21 -1.61
55 2 -2.47 -.56
56 2 -2.44 -.93
57 2 -2.49 .82
58 2 -.22 -1.55
59 2 -1.66 -.92
60 2 -2.01 -.27
61 2 -1.12 -2.66
62 2 -1.88 .34
63 2 -.99 -2.78
64 2 -2.65 -.64
65 2 -.39 .10
66 2 -1.13 -.01
67 2 -2.84 .13
68 2 -.72 -1.69
69 2 -3.37 -1.81
70 2 -1.03 -1.66
71 3 -3.82 1.14
72 2 -.94 -.55
73 2 -3.75 -1.48
74 2 -2.21 -1.45
75 2 -1.18 -.63
76 2 -1.37 -.23
77 2 -2.34 -1.07
78 2 -3.48 .10
79 2 -2.59 -.17
80 2 .39 -1.38
81 2 -1.04 -1.78
82 2 -.53 -1.98
83 2 -.85 -.94
84 3 -4.50 -.86
85 2 -3.03 .16
86 2 -2.19 1.27
87 2 -2.09 .01
88 2 -2.33 -2.08
89 2 -1.37 -.10
90 2 -1.93 -1.15
PC-NORMIX Version 2.1
Wolfe Normal Mixture Analysis Procedure (January 1995 Revision)
Equal Covariance Matrices Within Groups
USER=**** JOHN H. WOLFE DATE USED=24/07/90
TITLE=*** FISHER-KENDALL PROBLEM= 50 FLOWERS FROM EACH OF 3 IRIS TYPES
COMMENTS= IRIS SETOSA,IRIS VERSICOLOR,IRIS VIRGINICA ARE THE TYPES
COMMENTS= SEPAL LENGTH,SEPAL WIDTH,PETAL LENGTH,PETAL WIDTH=VARIABLES
Seq.# Cluster Discriminant Scores
1 2
91 2 -2.39 -1.56
92 2 -2.29 -.33
93 2 -1.21 -1.25
94 2 -.26 -1.79
95 2 -2.01 -.88
96 2 -1.20 -.49
97 2 -1.63 -.44
98 2 -1.37 -.60
99 2 .49 -.80
100 2 -1.55 -.58
101 3 -8.01 2.28
102 3 -5.56 .03
103 3 -6.26 .41
104 3 -5.63 -.30
105 3 -6.91 .87
106 3 -7.34 -.28
107 3 -4.79 -.34
108 3 -6.23 -1.07
109 3 -6.24 -1.46
110 3 -6.95 2.75
111 3 -4.49 1.37
112 3 -5.43 -.23
113 3 -5.66 .80
114 3 -6.01 -.04
115 3 -6.88 1.71
116 3 -5.91 2.07
117 3 -5.08 -.02
118 3 -6.65 1.75
119 3 -9.05 -.90
120 3 -4.68 -2.21
121 3 -6.32 1.65
122 3 -5.46 .76
123 3 -7.45 -1.13
124 3 -4.35 -.16
125 3 -5.79 1.33
126 3 -5.24 -.10
127 3 -4.08 .18
128 3 -4.12 .57
129 3 -6.54 .31
130 3 -4.49 -.96
131 3 -6.11 -.85
132 3 -5.21 1.40
133 3 -6.84 .60
134 2 -3.78 -.96
135 3 -5.07 -2.12
PC-NORMIX Version 2.1
Wolfe Normal Mixture Analysis Procedure (January 1995 Revision)
Equal Covariance Matrices Within Groups
USER=**** JOHN H. WOLFE DATE USED=24/07/90
TITLE=*** FISHER-KENDALL PROBLEM= 50 FLOWERS FROM EACH OF 3 IRIS TYPES
COMMENTS= IRIS SETOSA,IRIS VERSICOLOR,IRIS VIRGINICA ARE THE TYPES
COMMENTS= SEPAL LENGTH,SEPAL WIDTH,PETAL LENGTH,PETAL WIDTH=VARIABLES
Seq.# Cluster Discriminant Scores
1 2
136 3 -6.71 .72
137 3 -6.69 2.57
138 3 -5.03 .23
139 3 -4.00 .67
140 3 -5.20 1.10
141 3 -6.72 1.82
142 3 -5.12 1.94
143 3 -5.56 .03
144 3 -6.86 1.49
145 3 -6.95 2.49
146 3 -5.67 1.65
147 3 -5.14 -.41
148 3 -4.99 .82
149 3 -6.05 2.48
150 3 -4.76 .42
PC-NORMIX Version 2.1
Wolfe Normal Mixture Analysis Procedure (January 1995 Revision)
Equal Covariance Matrices Within Groups
USER=**** JOHN H. WOLFE DATE USED=24/07/90
TITLE=*** FISHER-KENDALL PROBLEM= 50 FLOWERS FROM EACH OF 3 IRIS TYPES
COMMENTS= IRIS SETOSA,IRIS VERSICOLOR,IRIS VIRGINICA ARE THE TYPES
COMMENTS= SEPAL LENGTH,SEPAL WIDTH,PETAL LENGTH,PETAL WIDTH=VARIABLES
Members of Cluster 1
Seq# Seq# Seq# Seq# Seq# Seq# Seq# Seq# Seq#
1 2 3 4 5 6 7 8 9
10 11 12 13 14 15 16 17 18
19 20 21 22 23 24 25 26 27
28 29 30 31 32 33 34 35 36
37 38 39 40 41 42 43 44 45
46 47 48 49 50
Members of Cluster 2
Seq# Seq# Seq# Seq# Seq# Seq# Seq# Seq# Seq#
51 52 53 54 55 56 57 58 59
60 61 62 63 64 65 66 67 68
69 70 72 73 74 75 76 77 78
79 80 81 82 83 85 86 87 88
89 90 91 92 93 94 95 96 97
98 99 100 134
Members of Cluster 3
Seq# Seq# Seq# Seq# Seq# Seq# Seq# Seq# Seq#
71 84 101 102 103 104 105 106 107
108 109 110 111 112 113 114 115 116
117 118 119 120 121 122 123 124 125
126 127 128 129 130 131 132 133 135
136 137 138 139 140 141 142 143 144
145 146 147 148 149 150
PC-NORMIX Version 2.1
Wolfe Normal Mixture Analysis Procedure (January 1995 Revision)
Equal Covariance Matrices Within Groups
USER=**** JOHN H. WOLFE DATE USED=24/07/90
TITLE=*** FISHER-KENDALL PROBLEM= 50 FLOWERS FROM EACH OF 3 IRIS TYPES
COMMENTS= IRIS SETOSA,IRIS VERSICOLOR,IRIS VIRGINICA ARE THE TYPES
COMMENTS= SEPAL LENGTH,SEPAL WIDTH,PETAL LENGTH,PETAL WIDTH=VARIABLES
Discriminant Function 2 Number of Types= 3
.
7.
.
.
6.
.
.
5.
.
.
4.
.
.
3. 3 1
. 33 3
. 3 3
2. 3* 3 1 1
. 3 3 3 3 3 1 1
. 3 3 3 2 1 1 1 1 1
1. 33 33 3 3 2 1* 1
. 3 3 3 3 22 1 1 1 11 111
. 3 * 3 3 2 22 2 2 11*1 1
0. 3 3 3333 3 2*2 22 1 1 **1
. 3 3 22 22*22 11
. 3 3 * 2 2 2 2 2 2 11 *11
-1. 3 3 2 2 2 1 1
. 3 2 2 2 2 2
. 2 2 222 1
-2. 3 3 2
. 2
. 2
-3.
.
.
-4.
.
.
-5.
.
.
-6.
.
.
-7.
.
.
-8....................................................................................................................
-10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10.
Discriminant Function 1
PC-NORMIX Version 2.1
Wolfe Normal Mixture Analysis Procedure (January 1995 Revision)
Equal Covariance Matrices Within Groups
USER=**** JOHN H. WOLFE DATE USED=24/07/90
TITLE=*** FISHER-KENDALL PROBLEM= 50 FLOWERS FROM EACH OF 3 IRIS TYPES
COMMENTS= IRIS SETOSA,IRIS VERSICOLOR,IRIS VIRGINICA ARE THE TYPES
COMMENTS= SEPAL LENGTH,SEPAL WIDTH,PETAL LENGTH,PETAL WIDTH=VARIABLES
Sample Size = 150
Number of Variables = 4
Number of Types = 4
Iteration Number 0
Log Likelihood of 4 Types in this sample = 295.00908
Characteristics of the Whole Sample
Means
1 2 3 4
5.8433 3.0573 3.7580 1.1993
Standard Deviations
1 2 3 4
.8253 .4344 1.7594 .7597
Correlations
1 2 3 4
1.0000 -.1176 .8718 .8179
-.1176 1.0000 -.4284 -.3661
.8718 -.4284 1.0000 .9629
.8179 -.3661 .9629 1.0000
Within-group Standard Deviations and Correlations
Standard Deviations
1 2 3 4
.4170 .3257 .4325 .2098
Correlations
1 2 3 4
1.0000 .5206 .5540 .3191
.5206 1.0000 .2778 .3475
.5540 .2778 1.0000 .7440
.3191 .3475 .7440 1.0000
Means
Type Lambda 1 2 3 4
1 .3333 5.0060 3.4280 1.4620 .2460
2 .4333 5.9523 2.7662 4.4692 1.4277
3 .1733 6.6000 3.0577 5.4846 2.1962
4 .0600 7.5222 3.1000 6.3889 1.9667
PC-NORMIX Version 2.1
Wolfe Normal Mixture Analysis Procedure (January 1995 Revision)
Equal Covariance Matrices Within Groups
USER=**** JOHN H. WOLFE DATE USED=24/07/90
TITLE=*** FISHER-KENDALL PROBLEM= 50 FLOWERS FROM EACH OF 3 IRIS TYPES
COMMENTS= IRIS SETOSA,IRIS VERSICOLOR,IRIS VIRGINICA ARE THE TYPES
COMMENTS= SEPAL LENGTH,SEPAL WIDTH,PETAL LENGTH,PETAL WIDTH=VARIABLES
Iteration 1 Log likelihood of 4 types in this sample = 313.22493
Iteration 2 Log likelihood of 4 types in this sample = 318.54290
Iteration 3 Log likelihood of 4 types in this sample = 321.66619
Iteration 4 Log likelihood of 4 types in this sample = 323.84183
Iteration 5 Log likelihood of 4 types in this sample = 325.72923
Iteration 6 Log likelihood of 4 types in this sample = 327.26557
Iteration 7 Log likelihood of 4 types in this sample = 328.00149
Iteration 8 Log likelihood of 4 types in this sample = 328.21422
Iteration 9 Log likelihood of 4 types in this sample = 328.27309
Iteration 10 Log likelihood of 4 types in this sample = 328.29477
Iteration 11 Log likelihood of 4 types in this sample = 328.30461
Iteration 12 Log likelihood of 4 types in this sample = 328.30946
Iteration 13 Log likelihood of 4 types in this sample = 328.31191
Iteration 14 Log likelihood of 4 types in this sample = 328.31316
Iteration 15 Log likelihood of 4 types in this sample = 328.31380
Iteration 16 Log likelihood of 4 types in this sample = 328.31428
Iteration 17 Log likelihood of 4 types in this sample = 328.31447
Iteration 18 Log likelihood of 4 types in this sample = 328.31446
PC-NORMIX Version 2.1
Wolfe Normal Mixture Analysis Procedure (January 1995 Revision)
Equal Covariance Matrices Within Groups
USER=**** JOHN H. WOLFE DATE USED=24/07/90
TITLE=*** FISHER-KENDALL PROBLEM= 50 FLOWERS FROM EACH OF 3 IRIS TYPES
COMMENTS= IRIS SETOSA,IRIS VERSICOLOR,IRIS VIRGINICA ARE THE TYPES
COMMENTS= SEPAL LENGTH,SEPAL WIDTH,PETAL LENGTH,PETAL WIDTH=VARIABLES
Sample Size = 150
Number of Variables = 4
Number of Types = 4
Iteration Number 19
Log Likelihood of 4 Types in this sample = 328.31448
Characteristics of the Whole Sample
Means
1 2 3 4
5.8433 3.0573 3.7580 1.1993
Standard Deviations
1 2 3 4
.8253 .4344 1.7594 .7597
Correlations
1 2 3 4
1.0000 -.1176 .8718 .8179
-.1176 1.0000 -.4284 -.3661
.8718 -.4284 1.0000 .9629
.8179 -.3661 .9629 1.0000
Within-group Standard Deviations and Correlations
Standard Deviations
1 2 3 4
.4790 .3333 .3889 .1861
Correlations
1 2 3 4
1.0000 .5637 .7204 .5602
.5637 1.0000 .3885 .4517
.7204 .3885 1.0000 .7337
.5602 .4517 .7337 1.0000
Means
Type Lambda 1 2 3 4
1 .3333 5.0060 3.4280 1.4620 .2460
2 .3354 5.9439 2.7573 4.2685 1.3237
3 .2304 6.3756 2.9981 5.3384 2.1080
4 .1010 7.0593 2.9652 6.0367 1.8606
PC-NORMIX Version 2.1
Wolfe Normal Mixture Analysis Procedure (January 1995 Revision)
Equal Covariance Matrices Within Groups
USER=**** JOHN H. WOLFE DATE USED=24/07/90
TITLE=*** FISHER-KENDALL PROBLEM= 50 FLOWERS FROM EACH OF 3 IRIS TYPES
COMMENTS= IRIS SETOSA,IRIS VERSICOLOR,IRIS VIRGINICA ARE THE TYPES
COMMENTS= SEPAL LENGTH,SEPAL WIDTH,PETAL LENGTH,PETAL WIDTH=VARIABLES
Discriminant Functions
1 2 3
Variable 1 .9261 -.4290 .0868
Variable 2 1.3215 .3555 2.7663
Variable 3 -2.4235 -2.9620 .7586
Variable 4 -2.4306 7.4554 -1.0073
Eigenvalues of B/W= 31.4466 1.5445 .2052
PC-NORMIX Version 2.1
Wolfe Normal Mixture Analysis Procedure (January 1995 Revision)
Equal Covariance Matrices Within Groups
USER=**** JOHN H. WOLFE DATE USED=24/07/90
TITLE=*** FISHER-KENDALL PROBLEM= 50 FLOWERS FROM EACH OF 3 IRIS TYPES
COMMENTS= IRIS SETOSA,IRIS VERSICOLOR,IRIS VIRGINICA ARE THE TYPES
COMMENTS= SEPAL LENGTH,SEPAL WIDTH,PETAL LENGTH,PETAL WIDTH=VARIABLES
Seq.# Cluster Membership Probabilities
1 2 3 4
1 1 1.000 .000 .000 .000
2 1 1.000 .000 .000 .000
3 1 1.000 .000 .000 .000
4 1 1.000 .000 .000 .000
5 1 1.000 .000 .000 .000
6 1 1.000 .000 .000 .000
7 1 1.000 .000 .000 .000
8 1 1.000 .000 .000 .000
9 1 1.000 .000 .000 .000
10 1 1.000 .000 .000 .000
11 1 1.000 .000 .000 .000
12 1 1.000 .000 .000 .000
13 1 1.000 .000 .000 .000
14 1 1.000 .000 .000 .000
15 1 1.000 .000 .000 .000
16 1 1.000 .000 .000 .000
17 1 1.000 .000 .000 .000
18 1 1.000 .000 .000 .000
19 1 1.000 .000 .000 .000
20 1 1.000 .000 .000 .000
21 1 1.000 .000 .000 .000
22 1 1.000 .000 .000 .000
23 1 1.000 .000 .000 .000
24 1 1.000 .000 .000 .000
25 1 1.000 .000 .000 .000
26 1 1.000 .000 .000 .000
27 1 1.000 .000 .000 .000
28 1 1.000 .000 .000 .000
29 1 1.000 .000 .000 .000
30 1 1.000 .000 .000 .000
31 1 1.000 .000 .000 .000
32 1 1.000 .000 .000 .000
33 1 1.000 .000 .000 .000
34 1 1.000 .000 .000 .000
35 1 1.000 .000 .000 .000
36 1 1.000 .000 .000 .000
37 1 1.000 .000 .000 .000
38 1 1.000 .000 .000 .000
39 1 1.000 .000 .000 .000
40 1 1.000 .000 .000 .000
41 1 1.000 .000 .000 .000
42 1 1.000 .000 .000 .000
43 1 1.000 .000 .000 .000
44 1 1.000 .000 .000 .000
45 1 1.000 .000 .000 .000
PC-NORMIX Version 2.1
Wolfe Normal Mixture Analysis Procedure (January 1995 Revision)
Equal Covariance Matrices Within Groups
USER=**** JOHN H. WOLFE DATE USED=24/07/90
TITLE=*** FISHER-KENDALL PROBLEM= 50 FLOWERS FROM EACH OF 3 IRIS TYPES
COMMENTS= IRIS SETOSA,IRIS VERSICOLOR,IRIS VIRGINICA ARE THE TYPES
COMMENTS= SEPAL LENGTH,SEPAL WIDTH,PETAL LENGTH,PETAL WIDTH=VARIABLES
Seq.# Cluster Membership Probabilities
1 2 3 4
46 1 1.000 .000 .000 .000
47 1 1.000 .000 .000 .000
48 1 1.000 .000 .000 .000
49 1 1.000 .000 .000 .000
50 1 1.000 .000 .000 .000
51 2 .000 1.000 .000 .000
52 2 .000 1.000 .000 .000
53 2 .000 .999 .000 .001
54 2 .000 1.000 .000 .000
55 2 .000 1.000 .000 .000
56 2 .000 1.000 .000 .000
57 2 .000 .995 .005 .000
58 2 .000 1.000 .000 .000
59 2 .000 1.000 .000 .000
60 2 .000 .998 .002 .000
61 2 .000 1.000 .000 .000
62 2 .000 .999 .001 .000
63 2 .000 1.000 .000 .000
64 2 .000 .999 .000 .001
65 2 .000 1.000 .000 .000
66 2 .000 1.000 .000 .000
67 2 .000 .991 .009 .000
68 2 .000 1.000 .000 .000
69 2 .000 .997 .003 .000
70 2 .000 1.000 .000 .000
71 3 .000 .079 .921 .000
72 2 .000 1.000 .000 .000
73 2 .000 .971 .002 .026
74 2 .000 .997 .000 .003
75 2 .000 1.000 .000 .000
76 2 .000 1.000 .000 .000
77 2 .000 .999 .000 .001
78 2 .000 .951 .042 .007
79 2 .000 .998 .002 .000
80 2 .000 1.000 .000 .000
81 2 .000 1.000 .000 .000
82 2 .000 1.000 .000 .000
83 2 .000 1.000 .000 .000
84 2 .000 .500 .077 .424
85 2 .000 .978 .022 .000
86 2 .000 .990 .010 .000
87 2 .000 1.000 .000 .000
88 2 .000 1.000 .000 .000
89 2 .000 1.000 .000 .000
90 2 .000 1.000 .000 .000
PC-NORMIX Version 2.1
Wolfe Normal Mixture Analysis Procedure (January 1995 Revision)
Equal Covariance Matrices Within Groups
USER=**** JOHN H. WOLFE DATE USED=24/07/90
TITLE=*** FISHER-KENDALL PROBLEM= 50 FLOWERS FROM EACH OF 3 IRIS TYPES
COMMENTS= IRIS SETOSA,IRIS VERSICOLOR,IRIS VIRGINICA ARE THE TYPES
COMMENTS= SEPAL LENGTH,SEPAL WIDTH,PETAL LENGTH,PETAL WIDTH=VARIABLES
Seq.# Cluster Membership Probabilities
1 2 3 4
91 2 .000 1.000 .000 .000
92 2 .000 1.000 .000 .000
93 2 .000 1.000 .000 .000
94 2 .000 1.000 .000 .000
95 2 .000 1.000 .000 .000
96 2 .000 1.000 .000 .000
97 2 .000 1.000 .000 .000
98 2 .000 1.000 .000 .000
99 2 .000 1.000 .000 .000
100 2 .000 1.000 .000 .000
101 3 .000 .000 1.000 .000
102 3 .000 .001 .999 .000
103 3 .000 .000 .698 .302
104 4 .000 .002 .045 .953
105 3 .000 .000 .998 .002
106 4 .000 .000 .000 1.000
107 3 .000 .006 .994 .000
108 4 .000 .000 .000 1.000
109 4 .000 .000 .001 .998
110 3 .000 .000 1.000 .000
111 3 .000 .003 .997 .000
112 3 .000 .006 .978 .015
113 3 .000 .000 .999 .001
114 3 .000 .000 1.000 .000
115 3 .000 .000 1.000 .000
116 3 .000 .000 1.000 .000
117 4 .000 .026 .127 .847
118 4 .000 .000 .000 1.000
119 4 .000 .000 .000 1.000
120 2 .000 .588 .013 .399
121 3 .000 .000 1.000 .000
122 3 .000 .000 1.000 .000
123 4 .000 .000 .000 1.000
124 3 .000 .132 .868 .001
125 3 .000 .000 .986 .014
126 4 .000 .000 .000 1.000
127 3 .000 .127 .873 .000
128 3 .000 .102 .897 .001
129 3 .000 .000 .998 .002
130 4 .000 .001 .000 .999
131 4 .000 .000 .000 1.000
132 4 .000 .000 .000 1.000
133 3 .000 .000 1.000 .000
134 2 .000 .729 .001 .270
135 4 .000 .000 .000 1.000
PC-NORMIX Version 2.1
Wolfe Normal Mixture Analysis Procedure (January 1995 Revision)
Equal Covariance Matrices Within Groups
USER=**** JOHN H. WOLFE DATE USED=24/07/90
TITLE=*** FISHER-KENDALL PROBLEM= 50 FLOWERS FROM EACH OF 3 IRIS TYPES
COMMENTS= IRIS SETOSA,IRIS VERSICOLOR,IRIS VIRGINICA ARE THE TYPES
COMMENTS= SEPAL LENGTH,SEPAL WIDTH,PETAL LENGTH,PETAL WIDTH=VARIABLES
Seq.# Cluster Membership Probabilities
1 2 3 4
136 3 .000 .000 .966 .034
137 3 .000 .000 1.000 .000
138 4 .000 .023 .145 .832
139 3 .000 .082 .918 .000
140 3 .000 .000 .999 .000
141 3 .000 .000 1.000 .000
142 3 .000 .000 1.000 .000
143 3 .000 .001 .999 .000
144 3 .000 .000 .999 .001
145 3 .000 .000 1.000 .000
146 3 .000 .000 1.000 .000
147 3 .000 .005 .995 .000
148 3 .000 .001 .998 .000
149 3 .000 .000 1.000 .000
150 3 .000 .029 .962 .009
PC-NORMIX Version 2.1
Wolfe Normal Mixture Analysis Procedure (January 1995 Revision)
Equal Covariance Matrices Within Groups
USER=**** JOHN H. WOLFE DATE USED=24/07/90
TITLE=*** FISHER-KENDALL PROBLEM= 50 FLOWERS FROM EACH OF 3 IRIS TYPES
COMMENTS= IRIS SETOSA,IRIS VERSICOLOR,IRIS VIRGINICA ARE THE TYPES
COMMENTS= SEPAL LENGTH,SEPAL WIDTH,PETAL LENGTH,PETAL WIDTH=VARIABLES
Seq.# Cluster Discriminant Scores
1 2 3
1 1 8.04 .01 .38
2 1 7.19 -.08 -1.02
3 1 7.52 .37 -.56
4 1 6.81 -.21 -.70
5 1 8.08 .09 .65
6 1 7.63 .63 1.54
7 1 7.20 .93 -.04
8 1 7.57 -.28 .17
9 1 6.60 .10 -1.34
10 1 7.33 -1.09 -.57
11 1 8.34 -.34 1.03
12 1 7.15 -.49 .23
13 1 7.34 -.78 -.93
14 1 7.61 .32 -1.20
15 1 9.83 .48 1.67
16 1 9.06 1.27 2.79
17 1 8.60 1.81 1.23
18 1 7.80 .76 .28
19 1 8.02 -.28 1.39
20 1 7.95 .57 1.18
21 1 7.46 -1.04 .36
22 1 7.58 1.28 .81
23 1 8.68 1.45 .31
24 1 6.32 1.29 -.25
25 1 6.42 -1.38 .45
26 1 6.80 -.72 -.86
27 1 6.84 .92 .04
28 1 7.89 -.33 .46
29 1 8.00 -.07 .11
30 1 6.79 -.52 -.33
31 1 6.75 -.60 -.60
32 1 7.46 1.04 .00
33 1 8.93 -.86 2.22
34 1 9.34 .09 2.35
35 1 7.08 -.34 -.67
36 1 8.04 .54 -.61
37 1 8.65 .13 .34
38 1 8.23 -.61 .74
39 1 6.97 .43 -1.14
40 1 7.67 -.32 .18
41 1 7.95 1.09 .19
42 1 5.90 .88 -3.17
43 1 7.24 .50 -.59
44 1 6.49 2.44 .12
45 1 6.74 .13 1.39
PC-NORMIX Version 2.1
Wolfe Normal Mixture Analysis Procedure (January 1995 Revision)
Equal Covariance Matrices Within Groups
USER=**** JOHN H. WOLFE DATE USED=24/07/90
TITLE=*** FISHER-KENDALL PROBLEM= 50 FLOWERS FROM EACH OF 3 IRIS TYPES
COMMENTS= IRIS SETOSA,IRIS VERSICOLOR,IRIS VIRGINICA ARE THE TYPES
COMMENTS= SEPAL LENGTH,SEPAL WIDTH,PETAL LENGTH,PETAL WIDTH=VARIABLES
Seq.# Cluster Discriminant Scores
1 2 3
46 1 6.86 .71 -1.13
47 1 7.95 -.48 1.36
48 1 7.18 .12 -.50
49 1 8.25 -.30 1.02
50 1 7.68 -.02 -.18
51 2 -1.51 -1.74 1.01
52 2 -1.82 -.14 .70
53 2 -2.46 -1.58 .77
54 2 -2.15 -.09 -2.04
55 2 -2.50 -.63 -.32
56 2 -2.52 -1.48 -.26
57 2 -2.51 .09 1.02
58 2 -.15 .04 -2.05
59 2 -1.79 -2.12 .17
60 2 -1.90 1.22 -1.14
61 2 -1.07 -.74 -2.99
62 2 -1.83 .89 -.12
63 2 -1.09 -2.57 -1.97
64 2 -2.74 -1.46 .10
65 2 -.30 1.27 -.68
66 2 -1.19 -.76 .48
67 2 -2.83 .13 .08
68 2 -.86 -2.61 -.53
69 2 -3.33 -.41 -2.08
70 2 -1.06 -1.25 -1.36
71 3 -3.74 1.42 .58
72 2 -.93 -.17 -.61
73 2 -3.81 -1.54 -.94
74 2 -2.39 -2.99 .02
75 2 -1.25 -1.15 -.08
76 2 -1.42 -.75 .19
77 2 -2.47 -2.09 -.04
78 2 -3.51 -.33 .35
79 2 -2.59 -.08 -.16
80 2 .37 -.82 -1.27
81 2 -1.05 -.95 -1.72
82 2 -.56 -1.40 -1.69
83 2 -.86 -.52 -.89
84 2 -4.55 -1.18 -.36
85 2 -3.02 .21 .06
86 2 -2.17 .84 1.12
87 2 -2.16 -.90 .60
88 2 -2.38 -1.62 -1.67
89 2 -1.37 -.18 -.02
90 2 -1.89 -.02 -1.49
PC-NORMIX Version 2.1
Wolfe Normal Mixture Analysis Procedure (January 1995 Revision)
Equal Covariance Matrices Within Groups
USER=**** JOHN H. WOLFE DATE USED=24/07/90
TITLE=*** FISHER-KENDALL PROBLEM= 50 FLOWERS FROM EACH OF 3 IRIS TYPES
COMMENTS= IRIS SETOSA,IRIS VERSICOLOR,IRIS VIRGINICA ARE THE TYPES
COMMENTS= SEPAL LENGTH,SEPAL WIDTH,PETAL LENGTH,PETAL WIDTH=VARIABLES
Seq.# Cluster Discriminant Scores
1 2 3
91 2 -2.48 -1.91 -.81
92 2 -2.37 -1.13 .30
93 2 -1.23 -.86 -1.09
94 2 -.19 -.04 -2.31
95 2 -2.01 -.58 -.78
96 2 -1.28 -1.26 .16
97 2 -1.66 -.55 -.21
98 2 -1.44 -1.06 -.09
99 2 .65 1.63 -2.08
100 2 -1.55 -.29 -.57
101 3 -7.85 2.95 1.10
102 3 -5.47 1.14 -.68
103 3 -6.29 -.19 .67
104 4 -5.71 -1.23 .40
105 3 -6.85 1.11 .44
106 4 -7.53 -2.48 1.24
107 3 -4.63 1.74 -1.57
108 4 -6.48 -3.73 1.01
109 4 -6.35 -2.14 -.52
110 3 -6.86 2.37 2.09
111 3 -4.40 1.76 .66
112 3 -5.40 .29 -.48
113 3 -5.60 1.12 .34
114 3 -5.83 2.15 -1.42
115 3 -6.55 4.90 -.91
116 3 -5.71 3.45 .50
117 4 -5.15 -.98 .61
118 4 -6.86 -1.79 3.44
119 4 -9.17 -2.06 .17
120 2 -4.73 -1.81 -1.72
121 3 -6.21 2.05 .85
122 3 -5.28 2.60 -.67
123 4 -7.70 -3.63 .87
124 3 -4.28 .77 -.69
125 3 -5.78 .68 1.31
126 4 -5.45 -2.69 1.61
127 3 -4.00 1.15 -.50
128 3 -4.07 .97 .12
129 3 -6.48 .93 -.17
130 4 -4.74 -3.66 1.10
131 4 -6.28 -2.47 .49
132 4 -5.46 -2.47 3.43
133 3 -6.72 1.67 -.27
134 2 -3.90 -2.02 .04
135 4 -5.32 -4.23 -.05
PC-NORMIX Version 2.1
Wolfe Normal Mixture Analysis Procedure (January 1995 Revision)
Equal Covariance Matrices Within Groups
USER=**** JOHN H. WOLFE DATE USED=24/07/90
TITLE=*** FISHER-KENDALL PROBLEM= 50 FLOWERS FROM EACH OF 3 IRIS TYPES
COMMENTS= IRIS SETOSA,IRIS VERSICOLOR,IRIS VIRGINICA ARE THE TYPES
COMMENTS= SEPAL LENGTH,SEPAL WIDTH,PETAL LENGTH,PETAL WIDTH=VARIABLES
Seq.# Cluster Discriminant Scores
1 2 3
136 3 -6.71 .45 .67
137 3 -6.51 3.42 1.18
138 4 -5.11 -.91 .88
139 3 -3.92 1.30 .04
140 3 -5.13 1.41 .55
141 3 -6.53 3.14 .38
142 3 -4.89 3.79 .12
143 3 -5.47 1.14 -.68
144 3 -6.79 1.50 .99
145 3 -6.75 3.66 .91
146 3 -5.45 3.55 -.10
147 3 -5.03 1.15 -1.27
148 3 -4.91 1.40 .19
149 3 -5.87 3.31 1.12
150 3 -4.74 .46 .26
PC-NORMIX Version 2.1
Wolfe Normal Mixture Analysis Procedure (January 1995 Revision)
Equal Covariance Matrices Within Groups
USER=**** JOHN H. WOLFE DATE USED=24/07/90
TITLE=*** FISHER-KENDALL PROBLEM= 50 FLOWERS FROM EACH OF 3 IRIS TYPES
COMMENTS= IRIS SETOSA,IRIS VERSICOLOR,IRIS VIRGINICA ARE THE TYPES
COMMENTS= SEPAL LENGTH,SEPAL WIDTH,PETAL LENGTH,PETAL WIDTH=VARIABLES
Members of Cluster 1
Seq# Seq# Seq# Seq# Seq# Seq# Seq# Seq# Seq#
1 2 3 4 5 6 7 8 9
10 11 12 13 14 15 16 17 18
19 20 21 22 23 24 25 26 27
28 29 30 31 32 33 34 35 36
37 38 39 40 41 42 43 44 45
46 47 48 49 50
Members of Cluster 2
Seq# Seq# Seq# Seq# Seq# Seq# Seq# Seq# Seq#
51 52 53 54 55 56 57 58 59
60 61 62 63 64 65 66 67 68
69 70 72 73 74 75 76 77 78
79 80 81 82 83 84 85 86 87
88 89 90 91 92 93 94 95 96
97 98 99 100 120 134
Members of Cluster 3
Seq# Seq# Seq# Seq# Seq# Seq# Seq# Seq# Seq#
71 101 102 103 105 107 110 111 112
113 114 115 116 121 122 124 125 127
128 129 133 136 137 139 140 141 142
143 144 145 146 147 148 149 150
Members of Cluster 4
Seq# Seq# Seq# Seq# Seq# Seq# Seq# Seq# Seq#
104 106 108 109 117 118 119 123 126
130 131 132 135 138
PC-NORMIX Version 2.1
Wolfe Normal Mixture Analysis Procedure (January 1995 Revision)
Equal Covariance Matrices Within Groups
USER=**** JOHN H. WOLFE DATE USED=24/07/90
TITLE=*** FISHER-KENDALL PROBLEM= 50 FLOWERS FROM EACH OF 3 IRIS TYPES
COMMENTS= IRIS SETOSA,IRIS VERSICOLOR,IRIS VIRGINICA ARE THE TYPES
COMMENTS= SEPAL LENGTH,SEPAL WIDTH,PETAL LENGTH,PETAL WIDTH=VARIABLES
Discriminant Function 2 Number of Types= 4
.
7.
.
.
6.
.
.
5. 3
.
.
4. 3
. 33 33
. 3 3
3. 3
. 3 3 1
. 3 3
2. 3 33 1
. 3 33 3 2 1
. 3 3* 3 * 2 2 1 * 1 1
1. 3 3 33 22 1 * 1 1
. 3 3 1 11111 1
. 3 22 2 2 11 1 1 * 1 1
0. 3 2 2* 22 2 2 11 1*1*1
. 22 2 2 2 2 * * 1 *
. * 2 222 2 1 1 1
-1. 4 2 2 2*2 11
. 2 2*2 2 1
. 4 2 2 2
-2. 4 4 2 2 2
. 4 4 4 22
. 4 2
-3.
. 4 4
. 4
-4. 4
.
.
-5.
.
.
-6.
.
.
-7.
.
.
-8....................................................................................................................
-10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10.
Discriminant Function 1
PC-NORMIX Version 2.1
Wolfe Normal Mixture Analysis Procedure (January 1995 Revision)
Equal Covariance Matrices Within Groups
USER=**** JOHN H. WOLFE DATE USED=24/07/90
TITLE=*** FISHER-KENDALL PROBLEM= 50 FLOWERS FROM EACH OF 3 IRIS TYPES
COMMENTS= IRIS SETOSA,IRIS VERSICOLOR,IRIS VIRGINICA ARE THE TYPES
COMMENTS= SEPAL LENGTH,SEPAL WIDTH,PETAL LENGTH,PETAL WIDTH=VARIABLES
Discriminant Function 3 Number of Types= 4
.
7.
.
.
6.
.
.
5.
.
.
4.
. 4 4
.
3. 1
. 1
. 3 1
2. 1
. 4 1 111
. 3 4 3 33 4 2 2 2 1 * 1
1. 4 3 * 4 2 2 1 1
. 3 34 * 3 3 32 2 2 1 1 1* 1
. 4 *3 33 222 * 222 1 11 **11 1
0. 33 34 * 222* 1 1 1
. 4 3 2 3 2 * * 1*1 1
. 3 *3 3 2 2 2 2 2 *11
-1. 3 2 2 2 *1 1
. 3 3 2 2 1
. 2 2 * 2
-2. 2 2 * 2
.
. 2
-3. 1
.
.
-4.
.
.
-5.
.
.
-6.
.
.
-7.
.
.
-8....................................................................................................................
-10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10.
Discriminant Function 1
PC-NORMIX Version 2.1
Wolfe Normal Mixture Analysis Procedure (January 1995 Revision)
Equal Covariance Matrices Within Groups
USER=**** JOHN H. WOLFE DATE USED=24/07/90
TITLE=*** FISHER-KENDALL PROBLEM= 50 FLOWERS FROM EACH OF 3 IRIS TYPES
COMMENTS= IRIS SETOSA,IRIS VERSICOLOR,IRIS VIRGINICA ARE THE TYPES
COMMENTS= SEPAL LENGTH,SEPAL WIDTH,PETAL LENGTH,PETAL WIDTH=VARIABLES
Discriminant Function 3 Number of Types= 4
.
7.
.
.
6.
.
.
5.
.
.
4.
. 4 4
.
3. 1
. 1
. 1 3
2. 1
. 4 11 1 1
. * 4 2 * 2 132 1 3 33
1. 4 2 41 3 3 13 3 3
. 4 4142 2 1 * *3 3 3
. 2 2 222 21*122313**1 1 3
0. 4 2 2 * 22 * 3 1 3 3
. 2 4 2 *2213* 3
. 2 2 *** 3 *2 3 3
-1. * 1 111 32
. 2 21 3 3
. 2 222 2
-2. 2 *2 2
.
. 2
-3. 1
.
.
-4.
.
.
-5.
.
.
-6.
.
.
-7.
.
.
-8....................................................................................................................
-10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10.
Discriminant Function 2
PC-NORMIX Version 2.1
Wolfe Normal Mixture Analysis Procedure (January 1995 Revision)
Equal Covariance Matrices Within Groups
USER=**** JOHN H. WOLFE DATE USED=24/07/90
TITLE=*** FISHER-KENDALL PROBLEM= 50 FLOWERS FROM EACH OF 3 IRIS TYPES
COMMENTS= IRIS SETOSA,IRIS VERSICOLOR,IRIS VIRGINICA ARE THE TYPES
COMMENTS= SEPAL LENGTH,SEPAL WIDTH,PETAL LENGTH,PETAL WIDTH=VARIABLES
Logarithm of likelihood ratio of 4 to 3 types= .33305400E+02
Pseudo Chi-square with 8 degrees of freedom= 63.72
"Probability" of null hypothesis= .00000000
PC-NORMIX Version 2.1
Wolfe Normal Mixture Analysis Procedure (January 1995 Revision)
Equal Covariance Matrices Within Groups
USER=**** JOHN H. WOLFE DATE USED=24/07/90
TITLE=*** FISHER-KENDALL PROBLEM= 50 FLOWERS FROM EACH OF 3 IRIS TYPES
COMMENTS= IRIS SETOSA,IRIS VERSICOLOR,IRIS VIRGINICA ARE THE TYPES
COMMENTS= SEPAL LENGTH,SEPAL WIDTH,PETAL LENGTH,PETAL WIDTH=VARIABLES
Summary of Likelihood Statistics
Types Log Likelihood Chi-square DF "Probability"
3 295.00908
4 328.31448 63.72 8 .0000