Example usage for weka.clusterers DensityBasedClusterer buildClusterer

Introduction

In this page you can find the example usage for weka.clusterers DensityBasedClusterer buildClusterer.

Prototype

void buildClusterer(Instances data) throws Exception;

Source Link

Document

Generates a clusterer.

Usage

From source file:core.ClusterEvaluationEX.java

License:Open Source License

/**
 * Perform a cross-validation for DensityBasedClusterer on a set of instances.
 *
 * @param clusterer the clusterer to use
 * @param data the training data/*from   w w  w .  j  ava  2 s  . c  o  m*/
 * @param numFolds number of folds of cross validation to perform
 * @param random random number seed for cross-validation
 * @return the cross-validated log-likelihood
 * @throws Exception if an error occurs
 */
public static double crossValidateModel(DensityBasedClusterer clusterer, Instances data, int numFolds,
        Random random) throws Exception {
    Instances train, test;
    double foldAv = 0;
    ;
    data = new Instances(data);
    data.randomize(random);
    //    double sumOW = 0;
    for (int i = 0; i < numFolds; i++) {
        // Build and test clusterer
        train = data.trainCV(numFolds, i, random);

        clusterer.buildClusterer(train);

        test = data.testCV(numFolds, i);

        for (int j = 0; j < test.numInstances(); j++) {
            try {
                foldAv += ((DensityBasedClusterer) clusterer).logDensityForInstance(test.instance(j));
                //     sumOW += test.instance(j).weight();
                //   double temp = Utils.sum(tempDist);
            } catch (Exception ex) {
                // unclustered instances
            }
        }
    }

    //    return foldAv / sumOW;
    return foldAv / data.numInstances();
}

---

From source file:detplagiasi.EMClustering.java

EMClustering() {
    addd = ct.getAddress();/*from w ww. j a v  a  2s.c o m*/

    try {
        ClusterEvaluation eval;
        Instances data;
        String[] options;
        DensityBasedClusterer cl;

        File he = getArffFile();
        data = new Instances(new BufferedReader(new FileReader(he)));
        System.out.println("-----EM Clustering-----");
        // normal
        try (BufferedWriter out = new BufferedWriter(new FileWriter(addd + "\\output.txt", true))) {
            out.write("\r\n--> normal\r\n");
            options = new String[2];
            options[0] = "-t";
            options[1] = he.getAbsolutePath();
            out.write("\r\n" + ClusterEvaluation.evaluateClusterer(new EM(), options) + "\r\n");
            out.write("\r\n");

            // manual call
            out.write("\n--> manual\r\n");
            cl = new EM();
            out.write("\r\n");
            cl.buildClusterer(data);
            getDataUji();
            getDataTraining();
            System.out.println("jumlah kluster = " + cl.numberOfClusters());
            noClusterUji = cl.clusterInstance(dataUji.instance(0));
            totalCluster = cl.numberOfClusters();
            System.out.println("kluster = " + cl.clusterInstance(dataUji.instance(0)));
            for (int b = 0; b < dataTraining.numInstances(); b++) {
                System.out.print("file " + td.fileName[b] + " termasuk cluster ke ");
                array1[b] = td.fileName[b];
                array2[b] = cl.clusterInstance(dataTraining.instance(b));

                System.out.println(cl.clusterInstance(dataTraining.instance(b)));
                //simpan nilai instance ke dalam sebuah array int buat dikirim ke detplaggui
            }

            out.write("\r\n");

            eval = new ClusterEvaluation();
            eval.setClusterer(cl);
            eval.evaluateClusterer(new Instances(data));
            out.write("\r\n\n# of clusters: " + eval.getNumClusters());

        } catch (Exception e) {
            System.err.println(e.getMessage());
            System.out.println("error2 em cluster");
        }

    } catch (IOException ex) {
        Logger.getLogger(EMClustering.class.getName()).log(Level.SEVERE, null, ex);
        System.out.println("errorrrr null em");
    }
}

---