dataminning2.DataMinning2.java Source code

Introduction

Here is the source code for dataminning2.DataMinning2.java

Source

/*
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 */
package dataminning2;

import com.csvreader.CsvReader;
import java.io.BufferedReader;
import java.io.FileNotFoundException;
import java.io.IOException;
import java.io.InputStreamReader;
import java.util.ArrayList;
import javax.swing.JFrame;
import org.apache.commons.math3.linear.AnyMatrix;
import org.apache.commons.math3.linear.SingularValueDecomposition;
import org.apache.commons.math3.linear.Array2DRowRealMatrix;

/**
 *
 * @author SuperUser
 */
public class DataMinning2 {

    /**
     * @param args the command line arguments
     */
    public static void main(String[] args) throws IOException {
        // here is the code to load the iris.csv data in an array 

        int ColumnCount = 0;
        int RowCount = 0;
        double[][] Dataarraytest;
        double[][] Dataarray;
        double[][] SVDS = null;
        double[][] SVDU = null;
        double[][] SVDV = null;
        System.out.println("Do you want to work with 1.att.csv or 2.iris.csv  ");
        InputStreamReader Datasetchoice = new InputStreamReader(System.in);
        BufferedReader BDatasetChoice = new BufferedReader(Datasetchoice);
        int Datasetchoicevalue = Integer.parseInt(BDatasetChoice.readLine());
        String path = null;
        // LOadData LDobj=new LOadData();
        LOadData LDobj = new LOadData();
        TrainingSetDecomposition TestDataonj = new TrainingSetDecomposition();
        SVDDecomposition SVDobj = new SVDDecomposition();

        switch (Datasetchoicevalue) {
        case 1:
            path = "Datasets\\att.csv";
            ColumnCount = LDobj.ColumnCount(path);
            RowCount = LDobj.RowCount(path);
            Dataarray = LDobj.Datasetup(path, ColumnCount, RowCount);
            Dataarraytest = TestDataonj.Decomposition(RowCount, RowCount, 2, Dataarray);

            SVDS = SVDobj.DecompositionS(Dataarraytest);
            SVDU = SVDobj.DecompositionU(Dataarraytest);
            SVDV = SVDobj.DecompositionV(Dataarraytest);

            System.out.println("Do you want the graph to be plotted 1.yes 2.No");
            Datasetchoicevalue = Integer.parseInt(BDatasetChoice.readLine());
            if (Datasetchoicevalue == 1) {
                WriteCSv wcsvobj = new WriteCSv();
                wcsvobj.writeCSVmethod(SVDU, "SVD");
            }

            KMeans_Ex4a Kmeanobj1 = new KMeans_Ex4a();
            double[][] KmeanData1 = Kmeanobj1.Main(SVDU);
            System.out.println("Do you want the graph to be plotted 1.yes 2.No");
            Datasetchoicevalue = Integer.parseInt(BDatasetChoice.readLine());
            if (Datasetchoicevalue == 1) {
                WriteCSVKmean wcsvobj = new WriteCSVKmean();
                wcsvobj.writeCSVmethod(KmeanData1, "KMean");
            }

            Gui DBScanobj1 = new Gui();
            DBScanobj1.main(SVDU);

            System.out.println("Do you want the graph to be plotted 1.yes 2.No");
            Datasetchoicevalue = Integer.parseInt(BDatasetChoice.readLine());
            if (Datasetchoicevalue == 1) {

                WriteCSv wcsvobj = new WriteCSv();
                wcsvobj.writeCSVmethod(SVDU, "DBScan");
            }

            break;

        case 2:
            path = "Datasets\\iris.csv";
            ColumnCount = LDobj.ColumnCount(path);
            RowCount = LDobj.RowCount(path);
            Dataarray = LDobj.Datasetup(path, ColumnCount, RowCount);
            Dataarraytest = TestDataonj.Decomposition(RowCount, 150, ColumnCount, Dataarray);

            SVDS = SVDobj.DecompositionS(Dataarraytest);
            SVDU = SVDobj.DecompositionU(Dataarraytest);
            SVDV = SVDobj.DecompositionV(Dataarraytest);
            System.out.println("Do you want the graph to be plotted 1.yes 2.No");
            Datasetchoicevalue = Integer.parseInt(BDatasetChoice.readLine());
            if (Datasetchoicevalue == 1) {
                WriteCSv wcsvobj = new WriteCSv();
                wcsvobj.writeCSVmethod(SVDU, "SVD");
            }

            KMeans_Ex4a Kmeanobj = new KMeans_Ex4a();
            double[][] KmeanData = Kmeanobj.Main(SVDU);
            ssecalc distobj = new ssecalc();
            String output = distobj.calc(KmeanData);
            System.out.println(output);
            System.out.println("Do you want the graph to be plotted 1.yes 2.No");
            Datasetchoicevalue = Integer.parseInt(BDatasetChoice.readLine());
            if (Datasetchoicevalue == 1) {
                WriteCSVKmean wcsvobj = new WriteCSVKmean();
                wcsvobj.writeCSVmethod(KmeanData, "KMean");
            }

            Gui DBScanobj = new Gui();
            DBScanobj.main(SVDU);

            System.out.println("Do you want the graph to be plotted 1.yes 2.No");
            Datasetchoicevalue = Integer.parseInt(BDatasetChoice.readLine());
            if (Datasetchoicevalue == 1) {

                WriteCSv wcsvobj = new WriteCSv();
                wcsvobj.writeCSVmethod(SVDU, "DBScan");
            }

            break;
        }

    }

}