Example usage for weka.clusterers XMeans setMaxKMeans

Introduction

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

Prototype

public void setMaxKMeans(int i) 

Source Link

Document

Set the maximum number of iterations to perform in KMeans.

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);//from ww w  .java 2  s . c  o  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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