#include <DivisiveClusterizer1D.h>

Inheritance diagram for DivisiveClusterizer1D< T >:

Public Member Functions
virtual DivisiveClusterizer1D *	clone () const

	DivisiveClusterizer1D (float zoffset=5., int ntkmin=5, bool useError=true, float zsep=0.05, bool wei=true)

std::pair< std::vector < Cluster1D< T > >, std::vector< const T * > >	operator() (const std::vector< Cluster1D< T > > &) const

	~DivisiveClusterizer1D ()

Public Member Functions inherited from Clusterizer1D< T >
virtual	~Clusterizer1D ()

Private Member Functions
void	findCandidates (const std::vector< Cluster1D< T > > &, std::vector< Cluster1D< T > > &, std::vector< Cluster1D< T > > &) const

void	insertTracks (std::vector< Cluster1D< T > > &, std::vector< Cluster1D< T > > &) const

std::vector< Cluster1D< T > >	makeCluster1Ds (std::vector< Cluster1D< T > > &, std::vector< Cluster1D< T > > &) const

Cluster1D< T >	mergeCluster1Ds (std::vector< Cluster1D< T > > &) const

std::vector< const T * >	takeTracks (const std::vector< Cluster1D< T > > &) const

Private Attributes
Cluster1DCleaner< T > *	theCleaner

Cluster1DMerger< T > *	theMerger

unsigned	theNTkMin

bool	theUseError

bool	theWei

float	theZOffSet

float	theZSeparation

Detailed Description

template<class T>
class DivisiveClusterizer1D< T >

Find the modes with a simple divisive method.

Definition at line 14 of file DivisiveClusterizer1D.h.

Constructor & Destructor Documentation

template<class T >

DivisiveClusterizer1D< T >::DivisiveClusterizer1D	(	float	zoffset = `5.`,
		int	ntkmin = `5`,
		bool	useError = `true`,
		float	zsep = `0.05`,
		bool	wei = `true`
	)

Parameters

zoffset	maximum distance between track position and position of its cluster (depending on useError its either weighted or physical distance)
ntkmin	Minimum number of tracks required to form a cluster.
useError	physical distances or weighted distances.
zsep	Maximum distance between two adjacent tracks that belong to the same initial cluster.
wei	Compute the cluster "center" with an unweighted or a weighted average of the tracks. Weighted means weighted with the error of the data point.

Definition at line 67 of file DivisiveClusterizer1D.h.

template<class T >

DivisiveClusterizer1D< T >::~DivisiveClusterizer1D ( )

Definition at line 83 of file DivisiveClusterizer1D.h.

Member Function Documentation

template<class T >

DivisiveClusterizer1D< T > * DivisiveClusterizer1D< T >::clone ( void ) const

virtual

Implements Clusterizer1D< T >.

Definition at line 102 of file DivisiveClusterizer1D.h.

template<class T >

void DivisiveClusterizer1D< T >::findCandidates	(	const std::vector< Cluster1D< T > > &	inputo,
		std::vector< Cluster1D< T > > &	finalCluster1Ds,
		std::vector< Cluster1D< T > > &	totDiscardedTracks
	)		const

private

Definition at line 109 of file DivisiveClusterizer1D.h.

template<class T >

void DivisiveClusterizer1D< T >::insertTracks	(	std::vector< Cluster1D< T > > &	clusou,
		std::vector< Cluster1D< T > > &	cludest
	)		const

private

Definition at line 233 of file DivisiveClusterizer1D.h.

template<class T >

std::vector< Cluster1D< T > > DivisiveClusterizer1D< T >::makeCluster1Ds	(	std::vector< Cluster1D< T > > &	clusters,
		std::vector< Cluster1D< T > > &	discardedTracks
	)		const

private

Definition at line 181 of file DivisiveClusterizer1D.h.

template<class T >

Cluster1D< T > DivisiveClusterizer1D< T >::mergeCluster1Ds ( std::vector< Cluster1D< T > > & clusters ) const

private

Definition at line 276 of file DivisiveClusterizer1D.h.

template<class T >

std::pair< std::vector< Cluster1D< T > >, std::vector< const T * > > DivisiveClusterizer1D< T >::operator() ( const std::vector< Cluster1D< T > > & input ) const