Provided by: mlpack-bin_3.0.4-1_amd64
mlpack_nmf - non-negative matrix factorization
mlpack_nmf -i string -r int [-q string] [-p string] [-m int] [-e double] [-s int] [-u string] [-V bool] [-H string] [-W string] [-h -v]
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: $ nmf --input_file V.csv --w_file W.csv --h_file H.csv --rank 10 --update_rules multdist
REQUIRED INPUT OPTIONS
--input_file (-i) [string] Input dataset to perform NMF on. --rank (-r) [int] Rank of the factorization.
OPTIONAL INPUT OPTIONS
--help (-h) [bool] Default help info. --info [string] Get help on a specific module or option. Default value ''. --initial_h_file (-q) [string] Initial H matrix. Default value ''. --initial_w_file (-p) [string] Initial W matrix. Default value ''. --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) [string] Matrix to save the calculated H to. Default value ''. --w_file (-W) [string] Matrix to save the calculated W to. Default value ''.
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.