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.

ADDITIONAL INFORMATION

       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.