aw_cluster.AW_Cluster.java Source code

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Here is the source code for aw_cluster.AW_Cluster.java

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/*
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package aw_cluster;

import java.io.BufferedReader;
import java.io.FileReader;
import java.util.Scanner;
import weka.clusterers.ClusterEvaluation;
import weka.core.Instances;

/**
 *
 * @author aodyra
 */
public class AW_Cluster {

    public static String masukanFile(Scanner sc) {
        int pilihanFile;
        System.out.println("Masukan file latih: ");
        System.out.println("1. iris.arff");
        System.out.println("2. unseen.arff");
        System.out.println("3. weather.nominal.arff");
        System.out.println("4. weather.numeric.arff");
        System.out.print("Pilihan: ");
        pilihanFile = sc.nextInt();
        String path = "resources/";
        switch (pilihanFile) {
        case 1:
            path += "iris.arff";
            break;
        case 2:
            path += "unseen.arff";
            break;
        case 3:
            path += "weather.nominal.arff";
            break;
        case 4:
            path += "weather.numeric.arff";
            break;
        }
        return path;
    }

    public static int typeLinkage(Scanner sc) {
        int pilihanType;
        System.out.println("Masukan tipe link: ");
        System.out.println("1. Single Linkage");
        System.out.println("2. Complete Linkage");
        System.out.println("Pilihan: ");
        pilihanType = sc.nextInt();
        return pilihanType;
    }

    /**
     * @param args the command line arguments
     */
    public static void main(String[] args) throws Exception {
        // TODO code application logic here
        Scanner sc = new Scanner(System.in);
        Instances trainingData;
        ClusterEvaluation eval;
        String path;
        int pilihan;
        int jumlahCluster;
        int maxIter;
        int typeLinkage;

        do {
            System.out.println("Masukan pilihan algoritma: ");
            System.out.println("1. MyKMeans");
            System.out.println("2. MyAgnes");
            System.out.println("3. Exit");
            System.out.print("Pilihan: ");
            pilihan = sc.nextInt();
            if (pilihan == 1) {
                path = masukanFile(sc);
                System.out.println("Masukan jumlah cluster: ");
                jumlahCluster = sc.nextInt();
                System.out.println("Masukan jumlah maksimum iterasi: ");
                maxIter = sc.nextInt();
                BufferedReader data = new BufferedReader(new FileReader(path));
                trainingData = new Instances(data);
                myKMeans kmeans = new myKMeans();
                kmeans.setNumCluster(jumlahCluster);
                kmeans.setMaxIteration(maxIter);
                kmeans.buildClusterer(trainingData);
                eval = new ClusterEvaluation();
                eval.setClusterer(kmeans);
                eval.evaluateClusterer(trainingData);
                System.out.println("Cluster Evaluation: " + eval.clusterResultsToString());
                System.out.println("");
            } else if (pilihan == 2) {
                path = masukanFile(sc);
                System.out.println("Masukan jumlah cluster: ");
                jumlahCluster = sc.nextInt();
                typeLinkage = typeLinkage(sc);
                BufferedReader data = new BufferedReader(new FileReader(path));
                trainingData = new Instances(data);
                myAgnes agnes = new myAgnes();
                agnes.setNumCluster(jumlahCluster);
                agnes.setLinkage(typeLinkage);
                agnes.buildClusterer(trainingData);
                eval = new ClusterEvaluation();
                eval.setClusterer(agnes);
                eval.evaluateClusterer(trainingData);
                System.out.println("Cluster Evaluation: " + eval.clusterResultsToString());
                System.out.println("");
            }
        } while (pilihan != 3);
    }
}