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OS/2 Shareware BBS: 8 Other
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TEST.OUT
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1993-07-18
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CLIQUE OPTIMIZATION 0.70
N. Sriram
National University of Singapore
Last Modified: July 18 1993
Please e-mail queries or comments to swknasri@leonis.nus.sg
NELM = 8 HEURISTIC = 2
In_file = test.dat
Out_file = test.out
Config_file = test.cfg
PROGRAM TRACE
DIVIDE 1 --> 4 CORR=0.88471 Lt = 2.987 (0.497) Rt=0.250 OK
MERGE 4 --> 2 CORR=0.96177 Lt = 1.945 (0.945) Rt=0.250 OK
DIVIDE 4 --> 6 CORR=0.99316 Lt = 4.889 (0.945) Rt=0.250 OK
MERGE 6 --> 5 CORR=1.00000 Lt = 3.943 (0.943) Rt=0.250 OK
DIVIDE All Data values are identical
MAX Data Similarity = 5.000
MIN Data Similarity = 1.000
MEAN Data Similarity = 1.778
The Pearson correlation between data and model = 1.000
The model hierarchy has 5 levels
LEVEL NCLUSTERS WLINKS AVG WSIM ALPHA PBI_CORR
1 6 2 5.000 5.000 0.782
2 5 3 4.667 4.000 0.876
3 4 4 4.250 3.000 0.885
4 2 12 2.750 2.000 0.746
5 1 27 1.778 1.000 0.000
ELEMENTS IN INDEXED CLUSTERS OF PARTITIONS IN THE HIERARCHY
1 2 3 4 5 5 6 6
1 2 3 3 4 4 5 5
1 1 2 2 3 3 4 4
1 1 1 1 2 2 2 2
1 1 1 1 1 1 1 1
HIERARCHICAL TREE
five *────┐
Θ─────────────────────────────┐
six *────┘ │
Θ────────────┐
seven *────┐ │ │
Θ─────────────────────────────┘ │
eight *────┘ │
φ
three *─────────┐ │
Θ────────────────────────┐ │
four *─────────┘ │ │
Θ────────────┘
one *──────────────┐ │
Θ───────────────────┘
two *──────────────┘
HIERARCHICAL TREE WITH NODE HOMOGENITIES
five *────┐
MAX────────────────────────────┐
six *────┘ │
500───────────┐
seven *────┐ │ │
MAX────────────────────────────┘ │
eight *────┘ │
194
three *─────────┐ │
750───────────────────────┐ │
four *─────────┘ │ │
375───────────┘
one *──────────────┐ │
500──────────────────┘
two *──────────────┘
ELEMENT TYPICALITIES AT VARIOUS LEVELS IN THE HIERARCHY
1 2 3 4 5
five 100 100 100 50 21
six 100 100 100 50 25
seven 100 100 100 50 21
eight 100 100 100 50 21
three 75 75 41 20
four 75 75 41 17
one 50 33 14
two 50 33 14
LOWER-HALF MODEL MATRIX OF SIMILARITIES
3.000
2.000 2.000
2.000 2.000 4.000
1.000 1.000 1.000 1.000
1.000 1.000 1.000 1.000 5.000
1.000 1.000 1.000 1.000 2.000 2.000
1.000 1.000 1.000 1.000 2.000 2.000 5.000
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