Utility functions for k-means clustering. More...

Collaboration diagram for Kmeans:

Functions
template<class __data_value_type , class __memory_space_type , class __memory_layout_type >
void	cuv::libs::kmeans::compute_clusters (cuv::tensor< __data_value_type, __memory_space_type, __memory_layout_type > &clusters, const cuv::tensor< __data_value_type, __memory_space_type, __memory_layout_type > &data, const cuv::tensor< typename cuv::tensor< __data_value_type, __memory_space_type, __memory_layout_type >::index_type, __memory_space_type > &indices)
	Compute the new cluster centers in one step.
template<class __data_value_type , class __memory_space_type , class __memory_layout_type >
void	cuv::libs::kmeans::sort_by_index (cuv::tensor< __data_value_type, __memory_space_type, __memory_layout_type > &res, cuv::tensor< typename cuv::tensor< __data_value_type, __memory_space_type, __memory_layout_type >::index_type, __memory_space_type > &indices, const cuv::tensor< __data_value_type, __memory_space_type, __memory_layout_type > &data)
	Sort the dataset according to the indices.

Detailed Description

Utility functions for k-means clustering.

Function Documentation

template<class __data_value_type , class __memory_space_type , class __memory_layout_type >

void cuv::libs::kmeans::compute_clusters	(	cuv::tensor< __data_value_type, __memory_space_type, __memory_layout_type > &	clusters,
		const cuv::tensor< __data_value_type, __memory_space_type, __memory_layout_type > &	data,
		const cuv::tensor< typename cuv::tensor< __data_value_type, __memory_space_type, __memory_layout_type >::index_type, __memory_space_type > &	indices
	)

Compute the new cluster centers in one step.

Parameters

clusters	the means to be updated
data	the data of from which the means are computed
indices	for every datapoint the index of the closest mean

template<class __data_value_type , class __memory_space_type , class __memory_layout_type >

void cuv::libs::kmeans::sort_by_index	(	cuv::tensor< __data_value_type, __memory_space_type, __memory_layout_type > &	res,
		cuv::tensor< typename cuv::tensor< __data_value_type, __memory_space_type, __memory_layout_type >::index_type, __memory_space_type > &	indices,
		const cuv::tensor< __data_value_type, __memory_space_type, __memory_layout_type > &	data
	)

Sort the dataset according to the indices.

Parameters

res	space for the sorted data
data	the data which is to be sorted
indices	for every datapoint the index of the closest mean