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java.lang.Objectorg.metaqtl.algo.HClustAlgorithm
public class HClustAlgorithm
This class implements stantard agglomerative hierarchical clustering methods.
Field Summary | |
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static int |
CENTROID_METHOD
Centroid method |
static int |
METHOD
A global variable to control the custering method. |
static int |
WARD_METHOD
Ward method |
Constructor Summary | |
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HClustAlgorithm()
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Method Summary | |
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static Tree |
CentroidMethod(double[] x,
double[] sd)
This method performs a hierarchical clustering of the given data points using a centroid method based on the mahalanobis distance. |
static Tree |
run(double[] x,
double[] sd)
This method performs a agglomerative clustering of the given data points where x is the
vector of observed values and sd the
vector of their standard deviations. |
static Tree |
WardMethod(double[] x,
double[] sd)
This method performs a hierarchical clustering of the given data points using the Ward's method. |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Field Detail |
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public static final int CENTROID_METHOD
public static final int WARD_METHOD
public static int METHOD
Constructor Detail |
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public HClustAlgorithm()
Method Detail |
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public static Tree run(double[] x, double[] sd)
x
is the
vector of observed values and sd
the
vector of their standard deviations. It returns an
array of TreeNode
which represents the
hierarchical clustering.
x
- the vector of data points.sd
- the vector of standard deviations.
public static Tree CentroidMethod(double[] x, double[] sd)
x
- the vector of data points.sd
- the vector of standard deviations.
public static Tree WardMethod(double[] x, double[] sd)
x
- the vector of data points.sd
- the vector of standard deviations.
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