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mlpack_mean_shift - mean shift clustering


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


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.


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


--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.


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.


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