/*
* Source code for Listing 9.3
*
*/
package mia.clustering.ch09;
import java.util.ArrayList;
import java.util.List;
import org.apache.mahout.clustering.canopy.Canopy;
import org.apache.mahout.clustering.canopy.CanopyClusterer;
import org.apache.mahout.common.distance.EuclideanDistanceMeasure;
import org.apache.mahout.math.Vector;
public class CanopyExample {
public static void main(String[] args) {
List<Vector> sampleData = new ArrayList<Vector>();
RandomPointsUtil.generateSamples(sampleData, 400, 1, 1, 2);
RandomPointsUtil.generateSamples(sampleData, 300, 1, 0, 0.5);
RandomPointsUtil.generateSamples(sampleData, 300, 0, 2, 0.1);
List<Canopy> canopies = CanopyClusterer.createCanopies(sampleData,
new EuclideanDistanceMeasure(), 3.0, 1.5);
for (Canopy canopy : canopies) {
System.out.println("Canopy id: " + canopy.getId() + " center: "
+ canopy.getCenter().asFormatString());
}
}
}