k-Means (kM) Clustering

Multiple Clusters with the kM and Initialization via k-Means++

Function
1. kMeans.predict(Xnew)

Description
1. Returns the estimated clusters of one or multiple test instances.

Example

X = [[1, 2]; [1, 4]; [1, 0];[10, 2]; [10, 4]; [10, 0]];
Xnew = [[0, 0]; [12, 3]];
k = 2;

mdl = kMeans(k);
mdl = mdl.fit(X);
Ypred = mdl.predict(Xnew)

Ypred =

1
2

centroids = mdl.C

1 2
10 2

See examples in the script files.