Example usage for weka.clusterers XMeans setBinValue

Introduction

In this page you can find the example usage for weka.clusterers XMeans setBinValue.

Prototype

public void setBinValue(double value) 

Source Link

Document

Sets the distance value between true and false of binary attributes.

Usage

From source file:org.montp2.m1decol.ter.clustering.XMeansClustering.java

License:Open Source License

public Clusterer computeClustering(String inPath, String outPath, Properties propertiesCluster)
        throws Exception {
    Instances inputInstances = WekaUtils.loadARFF(inPath);

    EuclideanDistance euclideanDistance = new EuclideanDistance();
    euclideanDistance.setAttributeIndices("first-last");
    euclideanDistance.setDontNormalize(false);
    euclideanDistance.setInvertSelection(false);

    XMeans xmeans = new XMeans();
    xmeans.setMaxIterations(500);/*  w  w w.  j  av a 2 s. co m*/
    xmeans.setSeed(10);
    xmeans.setMinNumClusters(5);
    xmeans.setMaxNumClusters(12);
    xmeans.setMaxKMeans(1000);
    xmeans.setMaxKMeansForChildren(1000);
    xmeans.setBinValue(1.0);
    xmeans.setCutOffFactor(0.5);
    xmeans.setDebugLevel(0);
    xmeans.setMaxIterations(1);
    xmeans.buildClusterer(inputInstances);

    Enumeration<Instance> e = inputInstances.enumerateInstances();
    while (e.hasMoreElements()) {
        Instance ins = e.nextElement();
        int cluster_num = xmeans.clusterInstance(ins);
        System.out.println(ins.toString());
        System.out.println(cluster_num);
    }

    WekaUtils.saveModel(xmeans, outPath);

    return xmeans;
}

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