Man page - mlpack_mean_shift(1)
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Manual
mlpack_mean_shift
NAMESYNOPSIS
DESCRIPTION
REQUIRED INPUT OPTIONS
OPTIONAL INPUT OPTIONS
OPTIONAL OUTPUT OPTIONS
ADDITIONAL INFORMATION
NAME
mlpack_mean_shift - mean shift clustering
SYNOPSIS
mlpack_mean_shift -i unknown [ -f bool ] [ -P bool ] [ -l bool ] [ -m int ] [ -r double ] [ -V bool ] [ -C unknown ] [ -o unknown ] [ -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 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
REQUIRED INPUT OPTIONS
--input_file (-i) [ unknown ]
Input dataset to perform clustering on.
OPTIONAL INPUT OPTIONS
--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.
OPTIONAL OUTPUT OPTIONS
--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.
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.