Clusters defined by a binary space partitioning tree. More...

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

Inheritance diagram for shark::HierarchicalClustering< InputT >:

Public Types
typedef base_type::BatchInputType	BatchInputType

typedef base_type::BatchOutputType	BatchOutputType

Public Types inherited from shark::AbstractClustering< InputT >
enum	Feature { HAS_SOFT_MEMBERSHIP = 1 }

typedef InputT	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

Public Member Functions
	HierarchicalClustering (const tree_type *tree)
	Constructor.

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

Shape	inputShape () const

std::size_t	numberOfClusters () const
	Return the number of clusters.

BatchOutputType	hardMembership (BatchInputType const &patterns) const
	Return the best matching cluster for very pattern in the batch.

RealVector	parameterVector () const
	from IParameterizable

void	setParameterVector (RealVector const &newParameters)
	from IParameterizable

std::size_t	numberOfParameters () const
	from IParameterizable

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

virtual void	updateFeatures ()

bool	hasSoftMembershipFunction () const

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

virtual RealVector	softMembership (InputType const &pattern) const
	Compute cluster membership function.

virtual RealMatrix	softMembership (BatchInputType const &patterns) const
	Compute cluster membership function.

void	read (InArchive &archive)
	empty default implementation of ISerializable::read

void	write (OutArchive &archive) const
	empty default implementation of ISerializable::write

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 Attributes
tree_type const *	mep_tree
	binary tree

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

Detailed Description

template<class InputT>
class shark::HierarchicalClustering< InputT >

Clusters defined by a binary space partitioning tree.

: Binary space-partitioning is a simple and fast way of clustering.

: It is not clear how the unfolding of the tree can be expressed as a flat parameter vector. Therefore, the parameter vector of this model is empty.

Definition at line 60 of file HierarchicalClustering.h.