net.sourceforge.javaocr.plugin.cluster
Class EuclidianDistanceCluster

java.lang.Object
  net.sourceforge.javaocr.plugin.cluster.AbstractBaseCluster
      net.sourceforge.javaocr.plugin.cluster.EuclidianDistanceCluster

All Implemented Interfaces:

Metric, Cluster

Direct Known Subclasses:

NormalDistributionCluster

public class EuclidianDistanceCluster
extends AbstractBaseCluster

cluster calculating euclidian distance

Author:

Konstantin Pribluda

Constructor Summary

EuclidianDistanceCluster()

EuclidianDistanceCluster(double[] mx)

EuclidianDistanceCluster(int dimensions)
create cluster calculating euclidian distance between center and feature vector

Method Summary

(package private) double	computeDimension(double dimension, int i)
double	distance(double[] features)

Methods inherited from class net.sourceforge.javaocr.plugin.cluster.AbstractBaseCluster

center, getAmountSamples, getDimensions, getMx, getSum, radius, setAmountSamples, setDimensions, setMx, setSum, train

Methods inherited from class java.lang.Object

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

Constructor Detail

EuclidianDistanceCluster

public EuclidianDistanceCluster()

EuclidianDistanceCluster

public EuclidianDistanceCluster(int dimensions)

create cluster calculating euclidian distance between center and feature vector

Parameters:

c - assotiated character

size - size of feature cluster

EuclidianDistanceCluster

public EuclidianDistanceCluster(double[] mx)

Method Detail

distance

public double distance(double[] features)

computeDimension

double computeDimension(double dimension,
                        int i)