mlpack_mean_shift(1) 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 or included with your DISTRIBUTION OF MLPACK.