Data clustering based on DBSCAN algorithm. More...

#include <clustering.h>

Inheritance diagram for iCub::ctrl::DBSCAN:

Public Member Functions
std::map< size_t, std::set< size_t > >	cluster (const std::vector< yarp::sig::Vector > &data, const yarp::os::Property &options) override
	Cluster the provided data.

virtual	~DBSCAN ()
	Virtual destructor.

Public Member Functions inherited from iCub::ctrl::Clustering
virtual	~Clustering ()
	Virtual destructor.

Detailed Description

Data clustering based on DBSCAN algorithm.

Note: This implementation is based on the code available at https://github.com/gyaikhom/dbscan.

Definition at line 70 of file clustering.h.

Constructor & Destructor Documentation

virtual iCub::ctrl::DBSCAN::~DBSCAN ( )

inlinevirtual

Virtual destructor.

Definition at line 89 of file clustering.h.

map< size_t, set< size_t > > DBSCAN::cluster	(	const std::vector< yarp::sig::Vector > &	data,
		const yarp::os::Property &	options
	)

overridevirtual

Cluster the provided data.

Parameters

data	contains points to be clustered.
options	contains clustering options. The available options are: "epsilon" representing the proximity sensitivity; "minpts" representing the minimum number of neighbours.

Returns: clusters as a mapping between classes and the sets of elements indexes wrt the original data.

Definition at line 152 of file clustering.cpp.

The documentation for this class was generated from the following files: