T_Cluster_engine_k_means_point_selector_random< PointType, VectorType > Class Template Reference

Select randomly the initial centers of mass for k-means algorithm. More...

#include <Cluster_engine_k_means_seed_selectors.hpp>

Attributes
std::random_device	m_rd
std::mt19937	m_rng

Constructors
	T_Cluster_engine_k_means_point_selector_random (void)
	T_Cluster_engine_k_means_point_selector_random (int generator)
	T_Cluster_engine_k_means_point_selector_random (const Self &other)
	T_Cluster_engine_k_means_point_selector_random (void)
	T_Cluster_engine_k_means_point_selector_random (int generator)
	T_Cluster_engine_k_means_point_selector_random (const Self &other)

Functor
template<class InputIterator , class OutputIterator >
OutputIterator	operator() (std::size_t k, InputIterator begin, InputIterator end, OutputIterator out)
template<class InputIterator , class OutputIterator >
OutputIterator	operator() (std::size_t k, InputIterator begin, InputIterator end, OutputIterator out)

Detailed Description

template<class PointType, class VectorType>
class SBL::GT::T_Cluster_engine_k_means_point_selector_random< PointType, VectorType >

Select randomly the initial centers of mass for k-means algorithm.

It uses a uniform distribution for generating the centers of mass .

Template Parameters

PointType	Representation of a point.
VectorType	Representation of a vector.