bionic (1) mlpack_mean_shift.1.gz

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)