Las mañanas de Off Topic !!1!1!eleven!1!

public static string Entropy(ArrayList arrText)
    {
        string retorno = "";
        //Total de columnas
        string sT = arrText[0].ToString();
        double F = (double)Tools.ContarEjemplos(sT, ",");
        double E = 0;
        int i, j = 0;
        DenseMatrix S = new DenseMatrix(arrText.Count, arrText.Count, 0);

    for (i = 0; i < arrText.Count; i++)
    {
        for (j = i + 1; j < arrText.Count; j++)
        {
            S[i, j] = Tools.HammingDistance(arrText[i].ToString().Replace(",", ""), arrText[j].ToString().Replace(",", "")) / F;
        }
    }
    //A diferencia de la formula en c# la matrix inicia en 0, 0
    for (i = 0; i < arrText.Count - 1; i++)
    {
        for (j = i + 1; j < arrText.Count; j++)
        {
            if (S[i, j] > 0 && S[i, j] < 1)
            {
                E += (S[i, j] * Math.Log10(S[i, j]) + (1 - S[i, j]) * Math.Log10(1 - S[i, j]));
            }
        }
    }
    E = -1 * E;
    //Calcular las entropias eliminando una columna. Se guarda la minima.
    double MinE = E;
    double NewE = E;
    int indiceMinE = 0;
    double TempE = 0;
    int totalF = (int)F;
    for (int features = totalF; features >= 2; features--)
    {
        F = features;
        indiceMinE = 0;
        for (int f = 0; f < F; f++)
        {
            S.Clear();
            TempE = 0;

            for (i = 0; i < arrText.Count; i++)
            {
                for (j = i + 1; j < arrText.Count; j++)
                {
                    S[i, j] = Tools.HammingDistance(arrText[i].ToString().Replace(",", "").Remove(f, 1), arrText[j].ToString().Replace(",", "").Remove(f, 1)) / (F - 1);
                }
            }
            //A diferencia de la formula en c# la matrix inicia en 0, 0
            for (i = 0; i < arrText.Count - 1; i++)
            {
                for (j = i + 1; j < arrText.Count; j++)
                {
                    if (S[i, j] > 0 && S[i, j] < 1)
                    {
                        TempE += (S[i, j] * Math.Log10(S[i, j]) + (1 - S[i, j]) * Math.Log10(1 - S[i, j]));
                    }
                }
            }
            TempE = -1 * TempE;
            if (Math.Abs(E - TempE) < MinE)
            {
                MinE = Math.Abs(E - TempE);
                NewE = TempE;
                indiceMinE = f;
            }
        }
        //Se suma 1 al indice porque en c# los indices inician en 0
        retorno += "Columna con Entropia minima: " + (indiceMinE + 1).ToString() + "\n";
        //Eliminar la caracteristica del conjunto de datos
        for (i = 0; i < arrText.Count; i++)
        {
            arrText[i] = arrText[i].ToString().Replace(",", "").Remove(indiceMinE, 1);
        }
        //Asignar el nuevo E
        E = NewE;
        MinE = E;
    }
    return retorno;
}