Provided by: mlpack-bin_2.2.5-1build1_amd64 
NAME
mlpack_dbscan - dbscan clustering
SYNOPSIS
mlpack_dbscan [-h] [-v]
DESCRIPTION
This program implements the DBSCAN algorithm for clustering using accelerated tree-based range search.
The type of tree that is used may be parameterized, or brute-force range search may also be used.
The input dataset to be clustered may be specified with the --input_file option, the radius of each range
search may be specified with the --epsilon option, and the minimum number of points in a cluster may be
specified with the --min_size option.
The output of the clustering may be saved as --assignments_file or --centroids_file; --assignments_file
will save the cluster assignments of each point, and --centroids_file will save the centroids of each
cluster.
The range search may be controlled with the --tree_type, --single_mode, and --naive parameters. The
--tree_type parameter can control the type of tree used for range search; this can take a variety of
values: 'kd', 'r', 'r-star', ’x', 'hilbert-r', 'r-plus', 'r-plus-plus', 'cover', 'ball'. The
--single_mode option will force single-tree search (as opposed to the default dual-tree search).
--single_mode can be useful when the RAM usage of batch search is too high. The --naive option will force
brute-force range search.
An example usage to run DBSCAN on the dataset in input.csv with a radius of 0.5 and a minimum cluster
size of 5 is given below:
$ mlpack_dbscan -i input.csv -e 0.5 -m 5
REQUIRED INPUT OPTIONS
--input_file (-i) [string]
Input dataset to cluster.
OPTIONAL INPUT OPTIONS
--epsilon (-e) [double]
Radius of each range search. Default value 1.
--help (-h)
Default help info.
--info [string]
Get help on a specific module or option. Default value ''.
--min_size (-m) [int]
Minimum number of points for a cluster. Default value 5.
--naive (-N)
If set, brute-force range search (not tree-based) will be used.
--single_mode (-S)
If set, single-tree range search (not dual-tree) will be used.
--tree_type (-t) [string]
If using single-tree or dual-tree search, the type of tree to use ('kd', 'r', 'r-star', 'x',
’hilbert-r', 'r-plus', 'r-plus-plus', 'cover', ’ball'). Default value 'kd'.
--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.
OPTIONAL OUTPUT OPTIONS
--assignments_file (-a) [string] Output file for assignments of each point. Default value ''.
--centroids_file (-C) [string] File to save output centroids to. Default value ’'.
ADDITIONAL INFORMATION
ADDITIONAL INFORMATION
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.
mlpack_dbscan(16 November 2017)