mlpack_mean_shift - mean shift clustering
mlpack_mean_shift [-h] [-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.
Default help info.
If specified, a column containing the learned cluster assignments will be added to the input dataset file. In this case, --output_file is overridden.
Get help on a specific module or option. Default value ’’.
--input_file (-i) [string]
Input dataset to perform clustering on. Default value ’’.
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.
Display informational messages and the full list of parameters and timers at the end of execution.
Display the version of mlpack.
(-C) [string] If specified, the centroids of each
cluster will be written to the given file. Default value
--output_file (-o) [string]
File to write output labels or labeled data to. Default value ’’.
For further information, including relevant papers, citations, and theory, For further information, including relevant papers, citations, and theory, consult the documentation found at http://www.mlpack.org or included with your consult the documentation found at http://www.mlpack.org or included with your DISTRIBUTION OF MLPACK. DISTRIBUTION OF MLPACK.