fuzzykmean.java

一个用于排队系统仿真的开源软件,有非常形象的图象仿真过程!

package jmt.engine.jwat.workloadAnalysis.clustering.fuzzyKMean;

import jmt.engine.jwat.workloadAnalysis.clustering.Clustering;
import jmt.engine.jwat.workloadAnalysis.clustering.ClusteringInfos;



public class FuzzyKMean implements Clustering {

	private ClusteringInfosFuzzy[] results;
	private int maxClust;
	private int[] varSel;
	private double[][][] assign;
	private double[] entropy;
	
	public FuzzyKMean (int numClust,int[] varSel){
		maxClust = numClust;
		this.varSel = varSel;
		assign = new double[numClust][][];
		results = new ClusteringInfosFuzzy[numClust];
	}

	public String getName() {
		return "Fuzzy k-Means";
	}

	public int getClusteringType() {
		return 1;
	}

	public int getNumCluster() {
		return results.length;
	}

	public void setAssign(int pos,double[][] ass){
		assign[pos] = ass;
		results[pos]=new ClusteringInfosFuzzy(ass,pos+2);
	}
	
	public void setEntropy(double[] ent){
		entropy = ent;
	}
	
	public ClusteringInfos getClusteringInfos(int numCluster) {
		return results[numCluster];
	}
	
	public double[][] getAssignment(int clust){
		return assign[clust];
	}
	public int[] getVarClust(){
		return varSel;
	}
	public double[] getEntropy(){
		return entropy;
	}
}