Clusters defined by centroids. More...

#include <shark/Models/Clustering/Centroids.h>

Inheritance diagram for shark::Centroids:

Public Member Functions
SHARK_EXPORT_SYMBOL	Centroids ()
	Default constructor.

SHARK_EXPORT_SYMBOL	Centroids (std::size_t centroids, std::size_t dimension)

SHARK_EXPORT_SYMBOL	Centroids (Data< RealVector > const &centroids)

std::string	name () const
	From INameable: return the class name.

SHARK_EXPORT_SYMBOL RealVector	parameterVector () const
	from IParameterizable

SHARK_EXPORT_SYMBOL void	setParameterVector (RealVector const &newParameters)
	from IParameterizable

SHARK_EXPORT_SYMBOL std::size_t	numberOfParameters () const
	from IParameterizable

Shape	inputShape () const
	return the dimension of the inputs

SHARK_EXPORT_SYMBOL std::size_t	numberOfClusters () const
	return the number of centroids in the model

Data< RealVector > const &	centroids () const
	read access to the centroid vectors

void	setCentroids (Data< RealVector > const &newCentroids)
	overwrite the centroid vectors

SHARK_EXPORT_SYMBOL void	read (InArchive &archive)
	from ISerializable

SHARK_EXPORT_SYMBOL void	write (OutArchive &archive) const
	from ISerializable

SHARK_EXPORT_SYMBOL RealVector	softMembership (RealVector const &pattern) const
	from AbstractClustering: Compute cluster memberships.

SHARK_EXPORT_SYMBOL RealMatrix	softMembership (BatchInputType const &patterns) const
	From AbstractClustering: Compute cluster memberships for a batch of patterns.

SHARK_EXPORT_SYMBOL RealMatrix	distances (BatchInputType const &patterns) const
	Computes the distances of each pattern to all cluster centers.

SHARK_EXPORT_SYMBOL void	initFromData (ClassificationDataset const &data, std::size_t noClusters=0, std::size_t noClasses=0)

SHARK_EXPORT_SYMBOL void	initFromData (Data< RealVector > const &dataset, std::size_t noClusters)

Public Member Functions inherited from shark::AbstractClustering< RealVector >
const Features &	features () const

virtual void	updateFeatures ()

bool	hasSoftMembershipFunction () const

virtual unsigned int	hardMembership (InputType const &pattern) const
	Compute best matching cluster.

virtual BatchOutputType	hardMembership (BatchInputType const &patterns) const
	Compute best matching cluster for a batch of inputs.

Public Member Functions inherited from shark::INameable
virtual	~INameable ()

Public Member Functions inherited from shark::IParameterizable< VectorType >
virtual	~IParameterizable ()

Public Member Functions inherited from shark::ISerializable
virtual	~ISerializable ()
	Virtual d'tor.

void	load (InArchive &archive, unsigned int version)
	Versioned loading of components, calls read(...).

void	save (OutArchive &archive, unsigned int version) const
	Versioned storing of components, calls write(...).

	BOOST_SERIALIZATION_SPLIT_MEMBER ()

Protected Member Functions
virtual SHARK_EXPORT_SYMBOL double	membershipKernel (double dist) const

Protected Attributes
Data< RealVector >	m_centroids
	centroid vectors

Protected Attributes inherited from shark::AbstractClustering< RealVector >
Features	m_features

Additional Inherited Members
Public Types inherited from shark::AbstractClustering< RealVector >
enum	Feature

typedef RealVector	InputType

typedef unsigned int	OutputType

typedef Batch< InputType >::type	BatchInputType

typedef Batch< OutputType >::type	BatchOutputType

typedef TypedFlags< Feature >	Features

typedef TypedFeatureNotAvailableException< Feature >	FeatureNotAvailableException

Public Types inherited from shark::IParameterizable< VectorType >
typedef VectorType	ParameterVectorType

Detailed Description

Clusters defined by centroids.

: Centroids are an elementary way to define clusters by means of the one-nearest-neighbor rule. This rule defines a hard clustering decision.

: The Centroids class uses inverse distances to compute soft clustering memberships. This is arbitrary and can be changed by overriding the membershipKernel function.

Definition at line 59 of file Centroids.h.

Constructor & Destructor Documentation

◆ Centroids() [1/3]

SHARK_EXPORT_SYMBOL shark::Centroids::Centroids ( )

Default constructor.

◆ Centroids() [2/3]

SHARK_EXPORT_SYMBOL shark::Centroids::Centroids	(	std::size_t	centroids,
		std::size_t	dimension
	)

Constructor

Parameters

centroids	number of centroids in the model (initially zero)
dimension	dimension of the input space, and thus of the centroids

◆ Centroids() [3/3]

SHARK_EXPORT_SYMBOL shark::Centroids::Centroids ( Data< RealVector > const & centroids )

Constructor

Parameters

centroids centroid vectors

Member Function Documentation

◆ centroids()

Data< RealVector > const & shark::Centroids::centroids ( ) const

inline

read access to the centroid vectors

Definition at line 100 of file Centroids.h.

References m_centroids.

Referenced by main().

◆ distances()

SHARK_EXPORT_SYMBOL RealMatrix shark::Centroids::distances ( BatchInputType const & patterns ) const

Computes the distances of each pattern to all cluster centers.

◆ initFromData() [1/2]

SHARK_EXPORT_SYMBOL void shark::Centroids::initFromData	(	ClassificationDataset const &	data,
		std::size_t	noClusters = `0`,
		std::size_t	noClasses = `0`
	)

initialize centroids from labeled data: take the first data points with different labels; if there are more centroids than classes, the remaining centroids are filled with the first elements in the data set

Parameters

data	dataset from which to take the centroids
noClusters	number of centroids in the model, default 0 is mapped to the number of classes in the data set
noClasses	number of clases in the dataset, default 0 means that the number is computed