net.sourceforge.javaocr.plugin.cluster
Class SigmaWeightedEuclidianDistanceCluster

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

All Implemented Interfaces:

Metric, Cluster

public class SigmaWeightedEuclidianDistanceCluster
extends NormalDistributionCluster

normalise dimenstion by sigma

Field Summary

Fields inherited from class net.sourceforge.javaocr.plugin.cluster.NormalDistributionCluster

quads, var

Constructor Summary

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

Method Summary

(package private) double

computeDimension(double dimension, int i) compute dimension normalised by sigma

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

getQuads, getVar, setQuads, setVar, train

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

distance

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

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

Methods inherited from class java.lang.Object

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

Constructor Detail

SigmaWeightedEuclidianDistanceCluster

public SigmaWeightedEuclidianDistanceCluster(int dimensions)

create cluster calculating euclidian distance between center and feature vector

Parameters:

c - assotiated character

size - size of feature cluster

Method Detail

computeDimension

double computeDimension(double dimension,
                        int i)

compute dimension normalised by sigma

Overrides:

computeDimension in class EuclidianDistanceCluster

Parameters:

dimension -

i -

Returns: