شرح تطبيق خوارزمية K-Means في لغة الجافا؟

السلام عليكم هذا الكود لخوارزمية K-Means clustring  كيف اجعل هذا الكود يعمل في ال GUI في الجافا والقيم المدخلة (Dataset) تكون من قاعدة بيانات Access امتدادة .mdb

package KMean;
import static java.lang.Math.abs;
import java.util.ArrayList;
import java.util.Collections;
import java.util.Scanner;

public class KMean {

    int k;
    int noOfItems;
    ArrayList dataItems;
    ArrayList cz;
    ArrayList oldCz;
    ArrayList row;
    ArrayList<ArrayList> groups;
    Scanner input;

    public KMean(int k, int noOfItems) {
        this.k = k;
        this.noOfItems = noOfItems;
        dataItems = new ArrayList();
        cz = new ArrayList();
        oldCz = new ArrayList();
        row = new ArrayList();
        groups = new ArrayList();
        input = new Scanner(System.in);

        for (int i = 0; i < k; i++) {
            groups.add(new ArrayList());
        }

        for (int i = 0; i < noOfItems; i++) {
            System.out.println("Enter Value for: " + (i + 1) + " item");
            dataItems.add(input.nextInt());
            if (i < k) {
                cz.add(dataItems.get(i));
                System.out.println("C" + (i + 1) + " is " + cz.get(i));
            }
        }
        int iter = 1;
        do {
            for (int aItem : dataItems) {
                for (int c : cz) {
                    row.add(abs(c - aItem));
                }
                groups.get(row.indexOf(Collections.min(row))).add(aItem);
                row.removeAll(row);
            }
            for (int i = 0; i < k; i++) {
                if (iter == 1) {
                    oldCz.add(cz.get(i));
                } else {
                    oldCz.set(i, cz.get(i));
                }
                if (!groups.get(i).isEmpty()) {
                    cz.set(i, average(groups.get(i)));
                }
            }
            if (!cz.equals(oldCz)) {
                for (int i = 0; i < groups.size(); i++) {
                    groups.get(i).removeAll(groups.get(i));
                }
            }
            iter++;
        } while (!cz.equals(oldCz));
        for (int i = 0; i < cz.size(); i++) {
            System.out.println("New C" + (i + 1) + " " + cz.get(i));
        }
        for (int i = 0; i < groups.size(); i++) {
            System.out.println("Group " + (i + 1));
            System.out.println(groups.get(i).toString());
        }
        System.out.println("Number of Itrations: " + iter);
    }

    public static void main(String[] args) {
        Scanner input = new Scanner(System.in);
        System.out.println("Enter Value of K");
        int k = input.nextInt();
        System.out.println("Enter No of Data Items");
        int noOfItems = input.nextInt();
        new KMean(k, noOfItems);
    }

    public static int average(ArrayList list) {
        int sum = 0;
        for (Integer value : list) {
            sum = sum + value;
        }
        return sum / list.size();
    }
}