kmeans.hpp File Reference

Implements the full k-means clustering procedure. More...

#include "Details.hpp"
#include "Refine.hpp"
#include "Initialize.hpp"
#include "Matrix.hpp"
#include "SimpleMatrix.hpp"
#include "InitializeKmeanspp.hpp"
#include "InitializeRandom.hpp"
#include "InitializeVariancePartition.hpp"
#include "InitializeNone.hpp"
#include "RefineHartiganWong.hpp"
#include "RefineLloyd.hpp"
#include "RefineMiniBatch.hpp"
#include "compute_wcss.hpp"

Include dependency graph for kmeans.hpp:

Go to the source code of this file.

Classes
struct	kmeans::Results< Index_, Cluster_, Float_ >
	Full statistics from k-means clustering. More...

Namespaces
namespace	kmeans
	Namespace for k-means clustering.

Functions
template<typename Index_ , typename Data_ , typename Cluster_ , typename Float_ , class Matrix_ = Matrix<Index_, Data_>>
Details< Index_ >	kmeans::compute (const Matrix_ &data, const Initialize< Index_, Data_, Cluster_, Float_, Matrix_ > &initialize, const Refine< Index_, Data_, Cluster_, Float_, Matrix_ > &refine, Cluster_ num_centers, Float_ *centers, Cluster_ *clusters)
template<typename Index_ , typename Data_ , typename Cluster_ , typename Float_ >
Details< Index_ >	kmeans::compute (const Matrix< Index_, Data_ > &data, const Initialize< Index_, Data_, Cluster_, Float_, Matrix< Index_, Data_ > > &initialize, const Refine< Index_, Data_, Cluster_, Float_, Matrix< Index_, Data_ > > &refine, Cluster_ num_centers, Float_ *centers, Cluster_ *clusters)
template<typename Index_ , typename Data_ , typename Cluster_ , typename Float_ , class Matrix_ = Matrix<Index_, Data_>>
Results< Index_, Cluster_, Float_ >	kmeans::compute (const Matrix_ &data, const Initialize< Index_, Data_, Cluster_, Float_, Matrix_ > &initialize, const Refine< Index_, Data_, Cluster_, Float_, Matrix_ > &refine, Cluster_ num_centers)
template<typename Index_ , typename Data_ , typename Cluster_ , typename Float_ >
Results< Index_, Cluster_, Float_ >	kmeans::compute (const Matrix< Index_, Data_ > &data, const Initialize< Index_, Data_, Cluster_, Float_, Matrix< Index_, Data_ > > &initialize, const Refine< Index_, Data_, Cluster_, Float_, Matrix< Index_, Data_ > > &refine, Cluster_ num_centers)

Detailed Description

Implements the full k-means clustering procedure.