Example: UnsupervisedNominalFilter

In this example a data set with 7 observations and 3 classes is filtered.

using System;
using Imsl.Stat;
using Imsl.Math;
using Imsl.DataMining.Neural;

public class UnsupervisedNominalFilterEx1
{


   public static void  Main(System.String[] args)
   {
      int nClasses = 3;
      UnsupervisedNominalFilter filter = new UnsupervisedNominalFilter(nClasses);
      int nObs = 7;
      int[] x = new int[]{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 Un-filtering.
      int[] tmp = new int[z.GetLength(1)];

      for (int i = 0; i < nObs; i++)
      {
         for (int j=0; j< z.GetLength(1); j++)
            tmp[j] = z[i,j];
         xBack[i] = filter.Decode(tmp);
      }
      pm.SetTitle("Result of inverse filtering");
      pm.Print(xBack);
   }
}

Output

 Filtered x
   0  1  2  
0  0  0  1  
1  0  0  1  
2  1  0  0  
3  0  1  0  
4  0  1  0  
5  1  0  0  
6  0  1  0  

Result of inverse filtering
   0  
0  3  
1  3  
2  1  
3  2  
4  2  
5  1  
6  2