KMEANS Trains a k means cluster model.CENTRES = KMEANS(CENTRES, DATA, OPTIONs) uses the batch K-means
algorithm to set the centres of a cluster model. The matrix DATA
represents the data which is being clustered, with each row
corresponding to a vector. The sum of squares error function is used.
The point at which a local minimum is achieved is returned as
CENTRES.
Hybrid Monte Carlo sampling.SAMPLES = HMC(F, X, OPTIONs, GRADF) uses a hybrid Monte Carlo
algorithm to sample from the distribution P ~ EXP(-F), where F is the
first argument to HMC. The Markov chain starts at the point X, and
the function GRADF is the gradient of the `energy function F.
