FeatureExtractor.Clustering
Class ClusteringDistance

java.lang.Object
  FeatureExtractor.Clustering.ClusteringDistance

Direct Known Subclasses:

Mahalanobis

public abstract class ClusteringDistance
extends java.lang.Object

Abstract class defining a clustering distance for comparing points.

Constructor Summary

ClusteringDistance()
Basic constructor.

Method Summary

abstract double

distance(ClusteringFeatures p1, ClusteringFeatures p2) Computes the clustering distance between two points.

Methods inherited from class java.lang.Object

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

Constructor Detail

ClusteringDistance

public ClusteringDistance()

Basic constructor.

Method Detail

distance

public abstract double distance(ClusteringFeatures p1,
                                ClusteringFeatures p2)

Computes the clustering distance between two points.

Parameters:

p1 - Points to be compared.

p2 - Points to be compared.

Returns:

Clustering distance value between the two points.