ViennaCL - The Vienna Computing Library  1.5.1
Data Structures | Namespaces | Functions
nmf.hpp File Reference

Provides a nonnegative matrix factorization implementation. Experimental. More...

#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/opencl/kernels/nmf.hpp"

Go to the source code of this file.

Data Structures

class  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.
 

Functions

template<typename ScalarType >
void nmf (viennacl::matrix< ScalarType > const &V, viennacl::matrix< ScalarType > &W, viennacl::matrix< ScalarType > &H, 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...
 

Detailed Description

Provides a nonnegative matrix factorization implementation. Experimental.

Contributed by Volodymyr Kysenko.