Example usage for weka.clusterers DBSCAN numberOfClusters

Introduction

In this page you can find the example usage for weka.clusterers DBSCAN numberOfClusters.

Prototype

public int numberOfClusters() throws Exception 

Source Link

Document

Returns the number of clusters.

Usage

From source file:nlpmusic.StringClusterer.java

public ArrayList<ArrayList<String>> cluster(ArrayList<String> tem) throws Exception {
    Instances source = listLoad(tem);/*www . jav a  2  s  .  c o m*/

    StringToWordVector vect = new StringToWordVector();
    vect.setWordsToKeep(to_keep);
    vect.setInputFormat(source);
    Instances datas = Filter.useFilter(source, vect);
    //vect.setDoNotOperateOnPerClassBasis(true);        
    //System.out.println("ASDASD" + vect.wordsToKeepTipText());
    //System.out.println(datas.numAttributes());
    //System.out.println("ASDASD" + vect.getWordsToKeep());
    DBSCAN clusterer = new DBSCAN();
    clusterer.setEpsilon(threshold);
    clusterer.setMinPoints(min_points);

    clusterer.buildClusterer(datas);

    ArrayList<ArrayList<String>> ret = new ArrayList<>();

    for (int i = 0; i < clusterer.numberOfClusters(); i++) {
        ArrayList<String> to_add = new ArrayList<>();
        //System.out.println(i);
        for (int j = 0; j < datas.size(); j++) {
            try {
                if (clusterer.clusterInstance(datas.get(j)) == i)
                    //System.out.println("* " + source.get(j).toString() + " *");
                    to_add.add(source.get(j).toString());
            } catch (Exception e) {
                //e.printStackTrace();
            }
        }
        ret.add(to_add);
    }
    return ret;
}

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