Package one.empty3.feature.kmeans

Class K_Clusterer

java.lang.Object

one.empty3.feature.kmeans.ReadDataset

one.empty3.feature.kmeans.K_Clusterer

public class K_Clusterer
extends ReadDataset

Field Summary

Fields

Modifier and Type	Field	Description
Map<Integer,double[]>	centroids
protected Map<double[],Integer>	clusters
protected Map<double[],Integer>	clustersPrint

Fields inherited from class one.empty3.feature.kmeans.ReadDataset

features, numberOfFeatures

Constructor Summary

Constructors

Constructor	Description
K_Clusterer()

Method Summary

Modifier and Type	Method	Description
double[]	centroidCalculator(int id, List<double[]> a)
Map<double[],Integer>	kmeans(int distance, Map<Integer,double[]> centroids, int k)
void	process(File in, File inCsv, File out, int res)

Methods inherited from class one.empty3.feature.kmeans.ReadDataset

getFeatures, read

Methods inherited from class java.lang.Object

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

Field Details

clustersPrint

protected Map<double[],Integer> clustersPrint

clusters

protected Map<double[],Integer> clusters

centroids

public Map<Integer,double[]> centroids

Constructor Details

K_Clusterer

public K_Clusterer()

Method Details

process

public void process(File in,
 File inCsv,
 File out,
 int res)
             throws IOException

Throws:

IOException

centroidCalculator

public double[] centroidCalculator(int id,
 List<double[]> a)

kmeans

public Map<double[],Integer> kmeans(int distance,
 Map<Integer,double[]> centroids,
 int k)