public void Initialize_Clusters()
{
var x = new double[10][];
for (int i = 0; i < x.Length; i++)
{
x[i] = new double[5];
}
ClusterData d = new ClusterData(x, new string[] { "a1", "a2", "a3", "a4", "a5" });
ClusterAlgorithmOptions options = new ClusterAlgorithmOptions(3, 123, true, 10);
//should provide initialized mean values and assignment
ClusterResult r = KmeansClusterAlgorithm.InitializeClusters(d, options);
int[] count = new int[3];
for (int i = 0; i < d.RawData.Length; i++)
{
int idx = r.ClusterAssignment[i];
count[idx] += 1;
}
for (int i = 0; i < options.NumberOfClusters; i++)
{
//check if every cluster received at least one data point
Assert.IsTrue(count[i] > 0);
//check if the column mean values are initialized
Assert.IsTrue(r.ClusterMeanValues[i].Length == d.RawData[0].Length);
}
}
