Implementation class for the standard KMeans algorithm.
Definition at line 23 of file KMeansLloydImpl.h.
Lloyd's KMeans training method
|k||parameter k |
|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 21 of file KMeansLloydImpl.cpp.
The documentation for this class was generated from the following files: