smile.clustering.linkage

Class UPGMCLinkage

java.lang.Object

smile.clustering.linkage.Linkage

smile.clustering.linkage.UPGMCLinkage

public class UPGMCLinkage
extends Linkage

Unweighted Pair Group Method using Centroids (also known as centroid linkage). The distance between two clusters is the Euclidean distance between their centroids, as calculated by arithmetic mean. Only valid for Euclidean distance based proximity matrix.

Author:

Haifeng Li

Constructor Summary

Constructors

Constructor and Description
UPGMCLinkage(double[][] proximity) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
void	merge(int i, int j) Merge two clusters into one and update the proximity matrix.
String	toString()

Methods inherited from class smile.clustering.linkage.Linkage

getProximity

Methods inherited from class java.lang.Object

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

Constructor Detail

UPGMCLinkage

public UPGMCLinkage(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.

Method Detail

toString

public String toString()

Overrides:

toString in class 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.