org.neuroph.nnet.learning.kmeans

Class Cluster

java.lang.Object

org.neuroph.nnet.learning.kmeans.Cluster

public class Cluster
extends Object

This class represents a single cluster, with corresponding centroid and assigned vectors

Author:

Zoran Sevarac

Constructor Summary

Constructors

Constructor and Description
Cluster()

Method Summary

Modifier and Type	Method and Description
void	assignVector(KVector vector) Assignes vector to this cluster.
boolean	equals(Object obj) Returns true if two clusters have same centroid
double[]	getAvgSum() Calculate and return avg sum vector for all vectors
KVector	getCentroid()
List<KVector>	getPoints()
int	hashCode()
void	removePoint(KVector point)
void	setCentroid(KVector centroid)
int	size() Returns number of vectors assigned to this cluster.

Methods inherited from class java.lang.Object

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

Constructor Detail

Cluster

public Cluster()

Method Detail

getCentroid

public KVector getCentroid()

setCentroid

public void setCentroid(KVector centroid)

removePoint

public void removePoint(KVector point)

getPoints

public List<KVector> getPoints()

getAvgSum

public double[] getAvgSum()

Calculate and return avg sum vector for all vectors

Returns:

avg sum vector

equals

public boolean equals(Object obj)

Returns true if two clusters have same centroid

Overrides:

equals in class Object

Parameters:

obj -

Returns:

hashCode

public int hashCode()

Overrides:

hashCode in class Object

assignVector

public void assignVector(KVector vector)

Assignes vector to this cluster.

Parameters:

vector - vector to assign

size

public int size()

Returns number of vectors assigned to this cluster.

Returns:

number of vectors assigned to this cluster