FeatureExtractor.Clustering
Class GenericClustering

java.lang.Object
  FeatureExtractor.Clustering.GenericClustering

Direct Known Subclasses:

KMeansClustering

public abstract class GenericClustering
extends java.lang.Object

Abstract class for the clustering of images.

Field Summary

protected ClusteringDistance

d The clustering distance used to compare the pixels

Constructor Summary

GenericClustering(ClusteringDistance d)
Basic constructor.

Method Summary

abstract ClusteringOutput	cluster(GenericFilterOutput image) Applies the clustering algorithm to a given filtered image.
abstract java.lang.String	toString() Returns a string representation of this clustering algorithm.

Methods inherited from class java.lang.Object

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

Field Detail

d

protected ClusteringDistance d

The clustering distance used to compare the pixels

Constructor Detail

GenericClustering

public GenericClustering(ClusteringDistance d)

Basic constructor.

Parameters:

d - The clustering distance to be used to compare pixels.

Method Detail

toString

public abstract java.lang.String toString()

Returns a string representation of this clustering algorithm.

Overrides:

toString in class java.lang.Object

Returns:

A string representation of this clustering algorithm.

cluster

public abstract ClusteringOutput cluster(GenericFilterOutput image)

Applies the clustering algorithm to a given filtered image.

Parameters:

image - Filtered image to which the clustering algorithm should be applied.

Returns:

Clustering result.