Detailed Description

Implementation class for the standard KMeans algorithm.

Definition at line 23 of file KMeansLloydImpl.h.

Static Public Member Functions
static void	Lloyd_KMeans (int32_t k, CDistance *distance, int32_t max_iter, SGMatrix< float64_t > mus, SGVector< int32_t > ClList, SGVector< float64_t > weights_set, bool fixed_centers)

Member Function Documentation

static

Lloyd's KMeans training method

Parameters

k	parameter k
distance	distance
max_iter	max iterations allowed
mus	cluster centers matrix (k columns)
ClList	cluster number each data vector belongs (size no_of_vectors)
weights_set	no. of points belonging to each cluster (size k)
fixed_centers	keep centers fixed or not

Definition at line 20 of file KMeansLloydImpl.cpp.

The documentation for this class was generated from the following files: