MinimumMeanDistanceClassifier Class

[SerializableAttribute]
public class MinimumMeanDistanceClassifier : MulticlassScoreClassifierBase<double[]>, 
	ISupervisedLearning<MinimumMeanDistanceClassifier, double[], int>

<SerializableAttribute>
Public Class MinimumMeanDistanceClassifier
	Inherits MulticlassScoreClassifierBase(Of Double())
	Implements ISupervisedLearning(Of MinimumMeanDistanceClassifier, Double(), Integer)

// Create some sample input data instances. 

double[][] inputs = 
{
    // Class 0
    new double[] {  4,  1 }, 
    new double[] {  2,  4 },
    new double[] {  2,  3 },

    // Class 1
    new double[] {  5,  5 },
    new double[] {  5,  6 },

    // Class 2
    new double[] { 10,  8 }
};

int[] output = 
{
    0, 0, 0, // The first three are from class 0
    1, 1,    // The second two are from class 1
    2        // The last is from class 2
};

// We will create a MMDC object for the data
var mmdc = new MinimumMeanDistanceClassifier();

// Compute the analysis and create a classifier
mmdc.Learn(inputs, output);

// Now we can project the data into mean distance space:
double[][] projection = mmdc.Scores(inputs);

// Or perform classification using:
int[] results = mmdc.Decide(inputs);