public static double getBICValue(Array2DRowRealMatrix mat)
{
double num = (double)0f;
EigenDecomposition eigenDecomposition = new EigenDecomposition(new Covariance(mat).getCovarianceMatrix());
double[] realEigenvalues = eigenDecomposition.getRealEigenvalues();
for (int i = 0; i < realEigenvalues.Length; i++)
{
num += java.lang.Math.log(realEigenvalues[i]);
}
return(num * (double)(mat.getRowDimension() / 2));
}
/**
* @param mat
* A matrix with feature vectors as rows.
* @return Returns the BICValue of the Gaussian model that approximates the
* the feature vectors data samples
*/
public static double GetBICValue(Array2DRowRealMatrix mat)
{
double ret = 0;
EigenDecomposition ed = new EigenDecomposition(new Covariance(mat).getCovarianceMatrix());
double[] re = ed.getRealEigenvalues();
for (int i = 0; i < re.Length; i++)
{
ret += Math.Log(re[i]);
}
return(ret * (mat.getRowDimension() / 2));
}