mlpack_nmf(1)

NAME
mlpack_nmf - non-negative matrix factorization

SYNOPSIS
 mlpack_nmf -i unknown -r int [-q unknown] [-p unknown] [-m int] [-e double] [-s int] [-u string] [-V bool] [-H unknown] [-W unknown] [-h -v]

DESCRIPTION
This program performs non-negative matrix factorization on the given dataset, storing the resulting decomposed matrices in the specified files. For an input dataset V, NMF decomposes V into two matrices W and H such that

  V = W * H
where all elements in W and H are non-negative. If V is of size (n x m), then W will be of size (n x r) and H will be of size (r x m), where r is the rank of the factorization (specified by the '--rank (-r)' parameter).

Optionally, the desired update rules for each NMF iteration can be chosen from the following list:

    •   multdist: multiplicative distance-based update rules (Lee and Seung 1999)

    •   multdiv: multiplicative divergence-based update rules (Lee and Seung 1999)

    •   als: alternating least squares update rules (Paatero and Tapper 1994)

The maximum number of iterations is specified with '--max_iterations (-m)', and the minimum residue required for algorithm termination is specified with the '--min_residue (-e)' parameter.

For example, to run NMF on the input matrix 'V.csv' using the 'multdist' update rules with a rank-10 decomposition and storing the decomposed matrices into 'W.csv' and 'H.csv', the following command could be used:

$ mlpack_nmf --input_file V.csv --w_file W.csv --h_file H.csv --rank 10 --update_rules multdist

REQUIRED INPUT OPTIONS

--input_file (-i) [unknown]
    Input dataset to perform NMF on.

--rank (-r) [int]
    Rank of the factorization.

OPTIONAL INPUT OPTIONS

--help (-h) [bool]
    Default help info.

--info [string]
    Print help on a specific option. Default value ''.

--initial_h_file (-q) [unknown]
    Initial H matrix.

--initial_w_file (-p) [unknown]
    Initial W matrix.

--max_iterations (-m) [int]
    Number of iterations before NMF terminates (0 runs until convergence. Default value 10000.

--min_residue (-e) [double]
    The minimum root mean square residue allowed for each iteration, below which the program terminates. Default value 1e-05.

--seed (-s) [int]
    Random seed. If 0, 'std::time(NULL)' is used. Default value 0. --update_rules (-u) [string] Update rules for each iteration; ( multdist | multdiv | als ). Default value 'multdist'.

--verbose (-v) [bool]
    Display informational messages and the full list of parameters and timers at the end of execution.

--version (-V) [bool]
    Display the version of mlpack.

OPTIONAL OUTPUT OPTIONS

--h_file (-H) [unknown]
    Matrix to save the calculated H to.

--w_file (-W) [unknown]
    Matrix to save the calculated W to.nnADDITIONAL INFORMATIONNN FOR FURTHER INFORMATION, INCLUDING RELEVANT PAPERS, CITATIONS, AND THEORY, consult the documentation found at http://www.mlpack.org or included with your distribution of mlpack.