smile.clustering.linkage

Class CompleteLinkage

java.lang.Object

smile.clustering.linkage.Linkage

smile.clustering.linkage.CompleteLinkage

public class CompleteLinkage
extends Linkage

Complete linkage. This is the opposite of single linkage. Distance between groups is now defined as the distance between the most distant pair of objects, one from each group.

Constructor Summary

Constructors

Constructor and Description
CompleteLinkage(double[][] proximity) Constructor.
CompleteLinkage(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 CompleteLinkage	of(double[][] data) Given a set of data, computes the proximity and then the linkage.
static <T> CompleteLinkage	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

CompleteLinkage

public CompleteLinkage(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.

CompleteLinkage

public CompleteLinkage(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 CompleteLinkage of(double[][] data)

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

of

public static <T> CompleteLinkage 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.