C# 클래스 Accord.Math.Decompositions.NonnegativeFactorization

Nonnegative Matrix Factorization.

For a nonnegative n-by-m matrix A, the Nonnegative Matrix Factorization is given by a n-by-k matrix of nonnegative factors W and a k-by-m matrix of nonnegative factor coefficients H. The factorization is not exact, as W * H is a lower-rank approximation to A. The factors W and H are chosen to minimize the root-mean-squared residual U between A and W * H.

References: http://en.wikipedia.org/wiki/Non-negative_matrix_factorization http://www.mathworks.com/help/toolbox/stats/nnmf.html

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공개 메소드들

메소드	설명
NonnegativeFactorization ( double value ) : System	Constructs a new non-negative matrix factorization.
NonnegativeFactorization ( double value, double h0, double w0 ) : System	Constructs a new non-negative matrix factorization.
NonnegativeFactorization ( double value, double h0, double w0, NonnegativeFactorizationAlgorithm algorithm ) : System	Constructs a new non-negative matrix factorization.
NonnegativeFactorization ( double value, double h0, double w0, NonnegativeFactorizationAlgorithm algorithm, int attempts, int maxIterations, double errorTolerance, double changeTolerance ) : System	Constructs a new non-negative matrix factorization.
NonnegativeFactorization ( double value, int k ) : System	Constructs a new non-negative matrix factorization.
NonnegativeFactorization ( double value, int k, NonnegativeFactorizationAlgorithm algorithm ) : System	Constructs a new non-negative matrix factorization.
NonnegativeFactorization ( double value, int k, NonnegativeFactorizationAlgorithm algorithm, int attempts, int maxIterations, double errorTolerance, double changeTolerance ) : System	Constructs a new non-negative matrix factorization.
NonnegativeFactorization ( double value, int k, int attempts ) : System	Constructs a new non-negative matrix factorization.

비공개 메소드들

메소드	설명
init ( double value, int k, NonnegativeFactorizationAlgorithm algorithm, double h0, double w0, int attempts, int maxIterations, double errorTolerance, double changeTolerance ) : void	Constructs a new non-negative matrix factorization.
makepositive ( double value ) : void	Enforces a matrix to contain only positive values.
maxabs ( double value ) : double	Max absolute value
maxdiff ( double matrixA, double matrixB ) : double	Max absolute difference
nnmf ( double value, double &w0, double &h0, NonnegativeFactorizationAlgorithm alg, int maxIterations, double normChangeThreshold, double maxFactorChangeThreshold ) : double	Single non-negative matrix factorization.
normdiff ( double matrixA, double matrixB ) : double	Norm of differences

메소드 상세

NonnegativeFactorization() 공개 메소드

Constructs a new non-negative matrix factorization.

public NonnegativeFactorization ( double value ) : System
value	double	The matrix to be factorized.
리턴	System

NonnegativeFactorization() 공개 메소드

Constructs a new non-negative matrix factorization.

public NonnegativeFactorization ( double value, double h0, double w0 ) : System
value	double	The matrix to be factorized.
h0	double	Initial approximation to the coefficient matrix H. /// Default is .
w0	double	Initial approximation to the weight matrix W. /// Default is .
리턴	System

NonnegativeFactorization() 공개 메소드

Constructs a new non-negative matrix factorization.

public NonnegativeFactorization ( double value, double h0, double w0, NonnegativeFactorizationAlgorithm algorithm ) : System
value	double	The matrix to be factorized.
h0	double	Initial approximation to the coefficient matrix H.
w0	double	Initial approximation to the weight matrix W.
algorithm	NonnegativeFactorizationAlgorithm	The algorithm to be used in the factorization. /// Please see for details. /// Default is .
리턴	System

NonnegativeFactorization() 공개 메소드

Constructs a new non-negative matrix factorization.

public NonnegativeFactorization ( double value, double h0, double w0, NonnegativeFactorizationAlgorithm algorithm, int attempts, int maxIterations, double errorTolerance, double changeTolerance ) : System
value	double	The matrix to be factorized.
h0	double	Initial approximation to the coefficient matrix H.
w0	double	Initial approximation to the weight matrix W.
algorithm	NonnegativeFactorizationAlgorithm	The algorithm to be used in the factorization. /// Please see for details. /// Default is .
attempts	int	How many repetitions of the method should be /// performed to avoid arriving at a poor local solution minima. Default /// value is 1.
maxIterations	int	The maximum number of iterations to perform.
errorTolerance	double	The minimum change in error to use as convergence criteria.
changeTolerance	double	The maximum absolute factor change to use as convergence criteria.
리턴	System

NonnegativeFactorization() 공개 메소드

Constructs a new non-negative matrix factorization.

public NonnegativeFactorization ( double value, int k ) : System
value	double	The matrix to be factorized.
k	int	The desired approximation rank.
리턴	System

NonnegativeFactorization() 공개 메소드

Constructs a new non-negative matrix factorization.

public NonnegativeFactorization ( double value, int k, NonnegativeFactorizationAlgorithm algorithm ) : System
value	double	The matrix to be factorized.
k	int	The desired approximation rank.
algorithm	NonnegativeFactorizationAlgorithm	The algorithm to be used in the factorization. /// Please see for details. /// Default is .
리턴	System

NonnegativeFactorization() 공개 메소드

Constructs a new non-negative matrix factorization.

public NonnegativeFactorization ( double value, int k, NonnegativeFactorizationAlgorithm algorithm, int attempts, int maxIterations, double errorTolerance, double changeTolerance ) : System
value	double	The matrix to be factorized.
k	int	The desired approximation rank.
algorithm	NonnegativeFactorizationAlgorithm	The algorithm to be used in the factorization. /// Please see for details. /// Default is .
attempts	int	How many repetitions of the method should be /// performed to avoid arriving at a poor local solution minima. Default /// value is 1.
maxIterations	int	The maximum number of iterations to perform.
errorTolerance	double	The minimum change in error to use as convergence criteria.
changeTolerance	double	The maximum absolute factor change to use as convergence criteria.
리턴	System

NonnegativeFactorization() 공개 메소드

Constructs a new non-negative matrix factorization.

public NonnegativeFactorization ( double value, int k, int attempts ) : System
value	double	The matrix to be factorized.
k	int	The desired approximation rank.
attempts	int	How many repetitions of the method should be /// performed to avoid arriving at a poor local solution minima. Default /// value is 1.
리턴	System