MeansClassifier.java Source code

Introduction

Here is the source code for MeansClassifier.java

Source

/*
 * To change this license header, choose License Headers in Project Properties.
 * To change this template file, choose Tools | Templates
 * and open the template in the editor.
 */
import java.io.FileReader;
import java.util.ArrayList;
import weka.*;
import weka.classifiers.Classifier;
import weka.core.Capabilities;
import weka.core.Instance;
import weka.core.Instances;

/**
 *
 * @author ysj13kxu
 */
public class MeansClassifier implements Classifier {

    /**
     * @param args the command line arguments
     */
    public ArrayList<Double> zeros = new ArrayList();
    public ArrayList<Double> ones = new ArrayList();

    public static void main(String[] args) throws Exception {
        Instances read = null;
        String str = "\\\\ueahome4\\stusci4\\ysj13kxu\\data\\Documents\\Sheet2_Train.arff";
        FileReader r;
        try {
            r = new FileReader(str);
            read = new Instances(r);
            read.setClassIndex(read.numAttributes() - 1);
        } catch (Exception e) {
            System.out.println(" Exception caught =" + e);
        }
        MeansClassifier m = new MeansClassifier();
        m.buildClassifier(read);
    }

    @Override
    public void buildClassifier(Instances i) throws Exception {

        double[][] means = new double[i.numClasses()][i.numAttributes() - 1];

        for (int j = 0; j < i.size(); j++) {
            if (i.instance(j).classValue() == 0) {
                zeros.add(i.instance(j).value(0));
            }
            if (i.instance(j).classValue() == 1) {
                ones.add(i.instance(j).value(0));
            }
        }
        double zero1 = 0, one1 = 0;
        for (int k = 0; k < zeros.size(); k++) {
            zero1 = zero1 + zeros.get(k);
        }
        for (int l = 0; l < ones.size(); l++) {
            one1 = one1 + ones.get(l);
        }
        System.out.println("For class 0, mean is " + (zero1 / zeros.size()));
        System.out.println("For class 1, mean is " + (one1 / ones.size()));
    }

    @Override
    public double classifyInstance(Instance instnc) throws Exception {
        throw new UnsupportedOperationException("Not supported yet."); //To change body of generated methods, choose Tools | Templates.
    }

    @Override
    public double[] distributionForInstance(Instance instnc) throws Exception {
        throw new UnsupportedOperationException("Not supported yet."); //To change body of generated methods, choose Tools | Templates.
    }

    @Override
    public Capabilities getCapabilities() {
        throw new UnsupportedOperationException("Not supported yet."); //To change body of generated methods, choose Tools | Templates.
    }
}