Example usage for weka.clusterers DBSCAN clusterInstance

Introduction

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

Prototype

public int clusterInstance(Instance instance) throws Exception 

Source Link

Document

Classifies a given instance.

Usage

From source file:nlpmusic.StringClusterer.java

public ArrayList<ArrayList<String>> cluster(ArrayList<String> tem) throws Exception {
    Instances source = listLoad(tem);//from  w  w w  .  j a  va  2s .  c om

    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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