source: src/main/java/weka/clusterers/SimpleClusterer.java @ 6

package weka.clusterers;


import java.util.Iterator;

import weka.clusterers.forMetisMQI.Graph;
import weka.clusterers.forMetisMQI.GraphAlgorithms;
import weka.core.Capabilities;
import weka.core.Instance;
import weka.core.Instances;
import weka.core.Capabilities.Capability;

public class SimpleClusterer extends AbstractClusterer {

        private int numberOfClusters = 0;

        /**
         * 
         */
        private static final long serialVersionUID = 1L;

        @Override
        public void buildClusterer(Instances data) throws Exception {
                getCapabilities().testWithFail(data);
                
                Graph g = new Graph(data);
                GraphAlgorithms ga = new GraphAlgorithms();
                ga.coarse(g);
                numberOfClusters = 1;
        }

        @Override
        public int clusterInstance(Instance instance) throws Exception {
                return 0;
        }

        @Override
        public double[] distributionForInstance(Instance instance) 
        throws Exception {
                double[] d = new double[numberOfClusters()];
                d[clusterInstance(instance)] = 1.0;
                return d;
        }

        @Override
        public Capabilities getCapabilities() {
                Capabilities result = super.getCapabilities();
                result.enable(Capability.NUMERIC_ATTRIBUTES);
                result.enable(Capability.NO_CLASS);
                return result;
        }

        @Override
        public int numberOfClusters() throws Exception {
                return numberOfClusters;
        }

        /**
         * Main method for executing this clusterer.
         * 
         * @param args
         *            the options, use "-h" to display options
         */
        public static void main(String[] args) {
                AbstractClusterer.runClusterer(new SimpleClusterer(), args);
        }

}