mlpack_mean_shift man page

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.

Required Options

--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.

Additional Information

For further information, including relevant papers, citations, and theory, consult the documentation found at or included with your DISTRIBUTION OF MLPACK.