private IMulticlassClassifier<double[]> createClustering(double[][] data)
{
if (rbKMeans.Checked)
return new KMeans((int)numKMeans.Value).Learn(data);
if (rbMeanShift.Checked)
{
var kernel = new Accord.Statistics.Distributions.DensityKernels.GaussianKernel(2);
return new MeanShift(2, kernel, (double)numRadius.Value).Learn(data);
}
if (rbGMM.Checked)
return new GaussianMixtureModel((int)numGaussians.Value).Learn(data);
throw new Exception();
}