it is urgent please help me

[thijo]

public class Point
 {
 
    private int x;
 
    private int y;
 
    private int Number;
 
 
    public Point(int X, int Y)
        {
 
        this.x =X;
        this.y = Y;
        this.Number=0;
    } 
 
 
 
    public void assign(int clustNo) 
          {
 
        this.Number = clustNo;
 
    } 
 
 
 
    public int getNumber() 
        {
 
        return this.Number;
 
    } 
 
 
    public int getX() 
         {
 
        return this.x;
 
    } 
 
 
 
    public int getY() 
        {
 
        return this.y;
 
    } 
 
 
    public static double distance(Point dp1, Point dp2) 
        {
 
        double result = 0;
        double resultX = dp1.getX() - dp2.getX();
        double resultY = dp1.getY() - dp2.getY();
        result = Math.sqrt(resultX*resultX + resultY*resultY);
        return result;
 
    } 
 
 
 
    public  String toString()
          {   
              return "("+ this.x + " ," +this.y + ")" + " belongs to g" + this.Number ; 
 
 
          }
 
 
 
} 
 
import java.io.*;
import java.util.*;
 
 
 
public class trial
 {
 
 
        private int k;
 
 
    private grouping[] group;
 
 
 
    private int nIterations;
 
 
 
    private Vector inputdata;
 
 
 
    private String inputFileName;
 
 
 
 
         public trial (int k, String inputFileName) 
         {
 
        this.k = k;
        this.inputFileName = inputFileName;
        this.group= new grouping[this.k];
        this.nIterations = 0;
        this.inputdata = new Vector();
 
      } 
 
 
 
 
           public trial(int k, List inputdata)
 
           {
 
        this.k = k;
        this.inputFileName = inputFileName;
        this.group= new grouping[this.k];
        this.nIterations = 0;
        this.inputdata=new Vector(inputdata);
 
        } 
 
 
 
 
 
       public void readData() throws IOException
 
               {
 
        BufferedReader in = new BufferedReader(new FileReader(this.inputFileName));
        String line = "";
           while ((line = in.readLine()) != null )
                      {
 
            StringTokenizer st = new StringTokenizer(line, " \t\n\r\f,");
                if (st.countTokens() == 2) 
                                  {
 
                    Point dp = new Point(Integer.parseInt(st.nextToken()), Integer.parseInt(st.nextToken()));
                    dp.assign(0);
                    this.inputdata.add(dp);
 
                                   }
 
                }
 
 
 
 
        in.close();
 
    } 
 
 
         public void runs() 
               {
 
           // Select k points as initial means
             for (int i=0; i < k; i++)
                    {
 
            this.clusters[i] = new clustering(i);
            this.clusters[i].setMean((Point)(this.inputdata.get((int)(Math.random() * this.inputdata.size()))));
 
               }
 
 
 
 
          do 
                   {
 
            Iterator i = this.inputdata.iterator();
                while (i.hasNext())
 
                        this.assign((Point)(i.next()));
 
            this.nIterations++;
 
        }while (this.updateMeans());
 
 
              } 
 
 
 
 
    private void clusterassign(Point dp)
           {
 
        int currentCluster = dp.getClusterNumber();
 
        double minDistance = Point.distance(dp, this.clusters[currentCluster].getMean());;
 
        for (int i=0; i <this.k; i++)
            if (DataPoint.distance(dp, this.clusters[i].getMean()) < minDistance) 
                             {
 
                minDistance = DataPoint.distance(dp, this.clusters[i].getMean());
                currentCluster = i;
 
                   }
 
        dp.clusterassign(currentCluster);    
 
    } 
 
 
 
 
        private boolean updateMeans() 
           {
 
        boolean reply = false;
 
        int[] x = new int[this.k];
        int[] y = new int[this.k];
        int[] size = new int[this.k];
        Point[] pastMeans = new Point[this.k];
 
        for (int i=0; i<this.k; i++)
                  {
 
            x[i] = 0;
            y[i] = 0;
            size[i] = 0;
            pastMeans[i] = this.clusters[i].getMean();
 
         }
 
        Iterator i = this.inputdata.iterator();
        while (i.hasNext()) 
                {
 
 
            Point dp = (Point)(i.next());
            int currentCluster = dp.getClusterNumber();
 
            x[currentCluster] += dp.getX();
            y[currentCluster] += dp.getY();
            size[currentCluster]++;
 
        }
 
        for (int j=0; j < this.k; j++ ) 
            if(size[j] != 0) {
 
                x[j] /= size[j];
                y[j] /= size[j];
                Point temp = new Point(x[j], y[j]);
                temp.clusterassign(j);
                this.clusters[j].setMean(temp);
                if (Point.distance(pastMeans[j], this.clusters[j].getMean()) !=0 )
                    reply = true;
 
            }
 
        return reply;
 
    } 
 
    public int getK() {
 
        return this.k;
 
    } 
 
 
    public clustering getCluster(int index) {
 
 
 
        return this.clusters[index];
 
    } 
 
 
 
    public String toString()
           {        
 
                    return  this.inputdata.toString();
 
 
 
 
    } 
 
 
 
    public Vector getPoints() {
 
        return this.inputdata ;
 
    } 
 
 
 
 
 
 
    public static void main(String[] args) {
 
 
         System.out.println("Please Enter the Number ");
         Scanner input1 = new Scanner(System.in);
         int n=input1.nextInt();
         System.out.println(" Enter the file name");
         Scanner input2 = new Scanner(System.in);
         String name = input2.next();
         File file = new File(name);
 
        trial  km = new  trial(n, name);
 
        try {
            km.readData();
        } catch (Exception e) {
            System.err.println(e);
            System.exit(-1);
        }
 
 
        km.runs();
 
 
                 System.out.println(" \n" +km);
 
 
        } 
 
} 

this code works well on the data
345,2
300,2
390,2
400,3
457,3
478,3
200,1
234,1
280,1
and produces the output

C:\Program Files\Java\jdk1 .6.0_03\bin>jav a trialPlease Enter the Number
3
Enter the file name
hi.csv

[(345 ,2) belongs to g1, (300 ,2) belongs to g1, (390 ,2) belongs to
g0, (400 ,3) belongs to g0, (457 ,3) belongs to g0, (478 ,3)
belongs to g0, (200 ,1) belongs to g2, (234 ,1) belongs to g2,
(280 ,1) belongs to g1]

but i need the output in the form in the excel sheet
group0 group1 group2
400,3 345 ,2 200,1
457,3 390 ,2 234,1
478,3 300 ,2 28,1

Please help me . it is urgent . i have to submit my project

[r035198x]

Help with what? What is the problem with the program? There is no need for us to try and guess what the problem is.

[thijo]

i have given that it is not giving the output in the format how i need. plz go threw my post

[r035198x]

1.) Vector is old. Consider using ArrayList instead.
2.) StringTokenizer is also old. Read the API specs for it for details. The String.split method is better.
3.) Read the Java code naming conventions. Class names should start with capital letter e.t.c.
4.) What you are getting as output is what you are printing in your toString. Add those points to an ArrayList of ArrayLists. Those in group0 go into the ArrayList at position 0 in the arraylist, those in group one go into the arraylist at position 1 e.t.c.
You could then write a print method for that takes that arraylist and prints out its contents the way you want.

[thijo]

thanks for help. but i dont know how to implement arraylist. when i declared arraylist and stored my result in it, it is stored as a single dimension. then how could i implement the looping for the printing the data in the format i want. please help in coding. it will be of great help. i have to finish my project

[r035198x]

Yep ArrayList, like Vector is one dimensional. That is why I said to use an ArrayList of ArrayLists.

[JosAH]

@r035198x
Or use a Map<String, List<Point>>; the keys are the group names, the values are the Points of the group. The values can even be a Set<Point> if needed. But I don't think the OP will go that way because it's "urgent".

kind regards,

Jos