HeuristicTopDownClusteringDynamicSparseTest.java

package clustering.test;

import java.util.List;

import activity.ActivityFrame;
import clustering.HeuristicTopDownClusteringDynamicSparse;
import clustering.ds.CSKSimpleCluster;
import clustering.ds.Instance;
import tool.InformationExtraction;

public class HeuristicTopDownClusteringDynamicSparseTest {
	public static void main(String[] args) throws Exception {
		
		long startTime = System.currentTimeMillis();
		String input = "/var/tmp/cxchu/groundtruth-data/cate-domain.json";
		
		List<ActivityFrame> allframe = InformationExtraction.getAllFrame(input);

		System.out.println("Initializing simple topdown clustering.....");
		
		HeuristicTopDownClusteringDynamicSparse cluster = new HeuristicTopDownClusteringDynamicSparse(allframe, false, 0.9, 5, 0.5);
		
		System.out.println("Done! Start clustering.......");
		int k=2;
		List<CSKSimpleCluster<ActivityFrame>> res = cluster.splitACluster(cluster.getInputCluster(), k);
		
		System.out.println("Done! Results..............");
		for (int i=0; i<res.size(); i++){
			List<Instance<ActivityFrame>> frames = res.get(i).getClusterMembers();
			for (int j=0; j<frames.size(); j++){
				System.out.println(frames.get(j).getData());
			}
			System.out.println(frames.size());
			System.out.println("====================================");
		}
		
		System.out.println("Number of clusters: " + res.size());
		long endTime   = System.currentTimeMillis();
		long totalTime = (endTime - startTime)/1000;
		System.out.println("Running time: " + totalTime + "second(s)");
	}
}