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//

//	Kohonen Feature Map applet

//

//	Written by Steve Bohrer		Last Updated - 6/24/86

//

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import java.awt.*;

import java.applet.*;

import KNN;



public class KNNdemo extends Applet 

{

   Button single;		// Single pass

   Button full;			// Full training pass

   Button resetData;		// Calculate new random data

   Button resetClusters;	// Calculate new random clusters

   Button paintGrid;		// Draw cluster interconnections

   Choice neighborhood;		// Neighborhood 

   Choice lr;			// Learning rate



   KNN network;



   // Initialization routine

   public void init()

   {

      Graphics graphics = getGraphics();

      graphics.setFont(new Font("Helvetica",Font.PLAIN,12));



      // Create KNN network

      network = new KNN(graphics, size());



      // Create main applet viewing area

      setBackground(Color.white);

      setLayout(new FlowLayout());

      add(new Label("Neighborhood :"));

      add(neighborhood = new Choice());

      neighborhood.addItem("0");

      neighborhood.addItem("1");

      neighborhood.addItem("2");

      neighborhood.addItem("3");

      neighborhood.addItem("4");

      neighborhood.addItem("5");

      neighborhood.select("5");

      add(new Label("Learning Rate :"));

      add(lr = new Choice());

      lr.addItem(".1");

      lr.addItem(".2");

      lr.addItem(".3");

      lr.addItem(".4");

      lr.addItem(".5");

      lr.addItem(".6");

      lr.addItem(".7");

      lr.addItem(".8");

      lr.addItem(".9");

      lr.select(".3");

      add(single = new Button("Single Pass"));

      add(full = new Button("Full Train"));

      add(resetData = new Button("Reset Data"));

      add(resetClusters = new Button("Randomize Centroids"));

      add(paintGrid = new Button("Paint Centroid Grid"));

      

      show();      

   }



   public void paint(Graphics g)

   {

      network.Paint();

   }



   public boolean action (Event e, Object arg)

   {

      Dimension r = size();

      System.out.println(((Button)e.target).getLabel());

      if (e.target == resetData)

         {

         network.ResetData();

         repaint();

         return true;

         }

      else if (e.target == single)

         {

         network.SinglePass(neighborhood.getSelectedIndex(),

                            (Double.valueOf(lr.getSelectedItem())).doubleValue());

         return true;

         }

      else if (e.target == full)

         {

         network.Train((Double.valueOf(lr.getSelectedItem())).doubleValue());

         return true;

         }

      else if (e.target == resetClusters)

         {

         network.RandomizeClusters();

         repaint();

         return true;

         }

      else if (e.target == paintGrid)

         {

         network.PaintGrid();

         return true;

         }

      else if (e.target == neighborhood)

         {

         return true;

         }

      else if (e.target == lr)

         {

         return true;

         }

   return false;

   }



}