NAME

       mlpack_mean_shift - mean shift clustering

SYNOPSIS

        mlpack_mean_shift [-h] [-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.

OPTIONAL INPUT OPTIONS

       --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, --output_file is overridden.

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

       --input_file (-i) [string]
              Input dataset to perform clustering on. Default value ''.

       --labels_only (-l)
              If specified, only the output labels will be  written  to  the  file  specified  by
              --output_file.

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

       --radius (-r) [double]
              If  the  distance  between 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  for
              the radius. 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.

OPTIONAL OUTPUT OPTIONS

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

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

ADDITIONAL INFORMATION

ADDITIONAL INFORMATION

       For  further  information,  including  relevant papers, citations, and theory, For further
       information, including relevant papers, citations, and theory, consult  the  documentation
       found  at  http://www.mlpack.org  or included with your consult the documentation found at
       http://www.mlpack.org or included with  your  DISTRIBUTION  OF  MLPACK.   DISTRIBUTION  OF
       MLPACK.

                                                              mlpack_mean_shift(16 November 2017)