package com.imsl.test.example.datamining.neural;

import com.imsl.math.*;
import com.imsl.datamining.neural.*;

/**
 * <p> 
 * Filters a small data set on a nominal type variable.
 * </p>
 * <p>
 * In this example a data set with 7 observations and 3 classes is filtered.  
 * </p>
 *
 * @see <a href="UnsupervisedNominalFilterEx1.java">Code</a>
 * @see <a href="doc-files/UnsupervisedNominalFilterEx1.out">Output</a>
 */
public class UnsupervisedNominalFilterEx1 {

    public static void main(String args[]) {
        
        int nClasses = 3;
        UnsupervisedNominalFilter filter
                = new UnsupervisedNominalFilter(nClasses);
        int nObs = 7;
        int[] x = {3, 3, 1, 2, 2, 1, 2};
        int[] xBack = new int[nObs];
        int[][] z;

        // Perform binary filtering 
        z = filter.encode(x);
        PrintMatrix pm = new PrintMatrix();
        pm.setTitle("Filtered x");
        pm.print(z);
      
        // Perform binary inverse filtering 
        for (int i = 0; i < nObs; i++) {
            xBack[i] = filter.decode(z[i]);
        }
        pm.setTitle("Result of inverse filtering");
        pm.print(xBack);
    }
}