testjca.java

聚类算法

package cluster.kmeans.test;

import java.util.Iterator;
import java.util.Vector;

import cluster.kmeans.DataPoint;
import cluster.kmeans.JCA;
import junit.framework.TestCase;

public class testJCA extends TestCase {
	public void testAtartAnalysis() {
		Vector dataPoints = new Vector();
		dataPoints.add(new DataPoint(22, 21, "p53"));
		dataPoints.add(new DataPoint(3, 2, "maltase"));
		dataPoints.add(new DataPoint(19, 20, "bcl2"));
		dataPoints.add(new DataPoint(19, 19.9, "fas"));
		dataPoints.add(new DataPoint(1, 3, "amylase"));
		dataPoints.add(new DataPoint(18, 22, "fqfq"));
		JCA jca = new JCA(2, 100, dataPoints);
		jca.startAnalysis();

		Vector[] v = jca.getClusterOutput();
		for (int i = 0; i < v.length; i++) {
			Vector tempV = v[i];
			System.out.println("-----------Cluster " + i + "---------");
			Iterator iter = tempV.iterator();
			while (iter.hasNext()) {
				DataPoint dpTemp = (DataPoint) iter.next();
				System.out.println(dpTemp.getObjName() + "[" + dpTemp.getX()
						+ "," + dpTemp.getY() + "]");
			}
		}
	}

}