nmf_operations.hpp File Reference

#include "viennacl/vector.hpp"
#include "viennacl/matrix.hpp"
#include "viennacl/linalg/prod.hpp"
#include "viennacl/linalg/norm_2.hpp"
#include "viennacl/linalg/norm_frobenius.hpp"
#include "viennacl/linalg/host_based/common.hpp"

Go to the source code of this file.

Classes
class	viennacl::linalg::nmf_config
	Configuration class for the nonnegative-matrix-factorization algorithm. Specify tolerances, maximum iteration counts, etc., here. More...

Namespaces
	viennacl
	Main namespace in ViennaCL. Holds all the basic types such as vector, matrix, etc. and defines operations upon them.
	viennacl::linalg
	Provides all linear algebra operations which are not covered by operator overloads.
	viennacl::linalg::host_based
	Holds all compute kernels with conventional host-based execution (buffers in CPU RAM).

Functions
template<typename NumericT >
void	viennacl::linalg::host_based::el_wise_mul_div (NumericT *matrix1, NumericT const *matrix2, NumericT const *matrix3, vcl_size_t size)
	Missing OpenMP kernel for nonnegative matrix factorization of a dense matrices. More...
template<typename NumericT >
void	viennacl::linalg::host_based::nmf (viennacl::matrix_base< NumericT > const &V, viennacl::matrix_base< NumericT > &W, viennacl::matrix_base< NumericT > &H, viennacl::linalg::nmf_config const &conf)
	The nonnegative matrix factorization (approximation) algorithm as suggested by Lee and Seung. Factorizes a matrix V with nonnegative entries into matrices W and H such that ||V - W*H|| is minimized. More...