NAME

       mlpack_mean_shift - mean shift clustering

SYNOPSIS

        mlpack_mean_shift [-h] [-v] -i string [-C string] [-P] [-m int] [-o string] [-r double] -V

DESCRIPTION

       This  program  performs  mean  shift  clustering on the given dataset, storing the learned
       cluster assignments either as a column of labels in the file containing the input  dataset
       or in a separate file.

REQUIRED OPTIONS

       --inputFile (-i) [string]
              Input dataset to perform clustering on.

OPTIONS

       --centroid_file (-C) [string]
              If  specified,  the  centroids  of  each cluster will be written to the given file.
              Default value ''.

       --help (-h)
              Default help info.

       --in_place (-P)
              If specified, a column containing the learned cluster assignments will be added  to
              the input dataset file. In this case, --outputFile is overridden.

       --info [string]
              Get help on a specific module or option.  Default value ''.

       --max_iterations (-m) [int]
              Maximum number of iterations before mean shift terminates. Default value 1000.

       --output_file (-o) [string]
              File to write output labels or labeled data to.  Default value ''.

       --radius (-r) [double]
              If  distance of two centroids is less than the given radius, one will be removed. A
              radius of 0 or less means an estimate will be calculated and used. Default value 0.

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

       --version (-V)
              Display the version of mlpack.

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.

                                                                             mlpack_mean_shift(1)