mlpack_mean_shift - mean shift clustering

       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-4.5.1                                     29 January 2025                            mlpack_mean_shift(1)

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

       The  input  dataset  should  be specified with the '--input_file (-i)' parameter, and the radius used for
       search can be specified with the '--radius (-r)' parameter.  The  maximum  number  of  iterations  before
       algorithm termination is controlled with the '--max_iterations (-m)' parameter.

       The  output  labels may be saved with the '--output_file (-o)' output parameter and the centroids of each
       cluster may be saved with the '--centroid_file (-C)' output parameter.

       For example, to run mean  shift  clustering  on  the  dataset  'data.csv'  and  store  the  centroids  to
       'centroids.csv', the following command may be used:

       $ mlpack_mean_shift--input_file data.csv --centroid_file centroids.csv

mlpack_mean_shift - mean shift clustering

--force_convergence(-f)[bool]
              If  specified,  the  mean shift algorithm will continue running regardless of max_iterations until
              the clusters converge.

       --help(-h)[bool]
              Default help info.

       --in_place(-P)[bool]
              If specified, a column containing the learned cluster assignments  will  be  added  to  the  input
              dataset file. In this case, --output_file is overridden. (Do not use with Python.)

       --info[string]
              Print help on a specific option. Default value ''.

       --labels_only(-l)[bool]
              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)[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.

--centroid_file(-C)[unknown]
              If  specified,  the  centroids of each cluster will be written to the given matrix.  --output_file
              (-o) [unknown] Matrix to write output labels or labeled data to.

--input_file(-i)[unknown]
              Input dataset to perform clustering on.

mlpack_mean_shift-iunknown [-fbool] [-Pbool] [-lbool] [-mint] [-rdouble] [-Vbool] [-Cunknown] [-ounknown] [-h-v]