smile.clustering.linkage

Class WPGMCLinkage

java.lang.Object

smile.clustering.linkage.Linkage

smile.clustering.linkage.WPGMCLinkage

public class WPGMCLinkage
extends Linkage

Weighted Pair Group Method using Centroids (also known as median linkage). The distance between two clusters is the Euclidean distance between their weighted centroids. Only valid for Euclidean distance based proximity matrix.

Constructor Summary

Constructors

Constructor and Description
WPGMCLinkage(double[][] proximity) Constructor.
WPGMCLinkage(int size, float[] proximity) Constructor.

Method Summary

Modifier and Type	Method and Description
void	merge(int i, int j) Merge two clusters into one and update the proximity matrix.
static WPGMCLinkage	of(double[][] data) Given a set of data, computes the proximity and then the linkage.
static <T> WPGMCLinkage	of(T[] data, smile.math.distance.Distance<T> distance) Given a set of data, computes the proximity and then the linkage.
java.lang.String	toString()

Methods inherited from class smile.clustering.linkage.Linkage

d, proximity, proximity, size

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

WPGMCLinkage

public WPGMCLinkage(double[][] proximity)

Constructor.

Parameters:

proximity - the proximity matrix to store the distance measure of dissimilarity. To save space, we only need the lower half of matrix.

WPGMCLinkage

public WPGMCLinkage(int size,
                    float[] proximity)

Constructor. Initialize the linkage with the lower triangular proximity matrix.

Parameters:

size - the data size.

proximity - column-wise linearized proximity matrix that stores only the lower half. The length of proximity should be size * (size+1) / 2. To save space, Linkage will use this argument directly without copy. The elements may be modified.

Method Detail

of

public static WPGMCLinkage of(double[][] data)

Given a set of data, computes the proximity and then the linkage.

of

public static <T> WPGMCLinkage of(T[] data,
                                  smile.math.distance.Distance<T> distance)

Given a set of data, computes the proximity and then the linkage.

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object

merge

public void merge(int i,
                  int j)

Description copied from class: Linkage

Merge two clusters into one and update the proximity matrix.

Specified by:

merge in class Linkage

Parameters:

i - cluster id.

j - cluster id.