public void BinarySplitConstructorTest()
{
Accord.Math.Tools.SetupGenerator(0);
// Declare some observations
double[][] observations =
{
new double[] { -5, -2, -1 },
new double[] { -5, -5, -6 },
new double[] { 2, 1, 1 },
new double[] { 1, 1, 2 },
new double[] { 1, 2, 2 },
new double[] { 3, 1, 2 },
new double[] { 11, 5, 4 },
new double[] { 15, 5, 6 },
new double[] { 10, 5, 6 },
};
double[][] orig = observations.MemberwiseClone();
// Create a new binary split with 3 clusters
BinarySplit binarySplit = new BinarySplit(3);
// Compute the algorithm, retrieving an integer array
// containing the labels for each of the observations
int[] labels = binarySplit.Compute(observations);
// As a result, the first two observations should belong to the
// same cluster (thus having the same label). The same should
// happen to the next four observations and to the last three.
Assert.AreEqual(labels[0], labels[1]);
Assert.AreEqual(labels[2], labels[3]);
Assert.AreEqual(labels[2], labels[4]);
Assert.AreEqual(labels[2], labels[5]);
Assert.AreEqual(labels[6], labels[7]);
Assert.AreEqual(labels[6], labels[8]);
Assert.AreNotEqual(labels[0], labels[2]);
Assert.AreNotEqual(labels[2], labels[6]);
Assert.AreNotEqual(labels[0], labels[6]);
int[] labels2 = binarySplit.Clusters.Nearest(observations);
Assert.IsTrue(labels.IsEqual(labels2));
// the data must not have changed!
Assert.IsTrue(orig.IsEqual(observations));
}
public void buildModel()
{
if (inputMatrix == null) getMatrix();
switch (cType)
{
case clusterType.KMEANS:
KMeans kmeans = new KMeans(k);
kmeans.Compute(inputMatrix, precision);
clusterCollection = kmeans.Clusters;
model = kmeans;
break;
case clusterType.BINARY:
BinarySplit bSplit = new BinarySplit(k);
bSplit.Compute(inputMatrix, precision);
clusterCollection = bSplit.Clusters;
model = bSplit;
//Console.WriteLine("BinarySplit");
break;
case clusterType.GAUSSIANMIXTURE:
GaussianMixtureModel gModel = new GaussianMixtureModel(k);
gModel.Compute(inputMatrix, precision);
clusterCollection = gModel.Gaussians;
model = gModel;
break;
default:
break;
}
lbl = new List<string>();
for (int i = 0; i < k; i++)
{
lbl.Add(i.ToString());
}
}