Compute a random vector of density f from input observations points. f is computed using a smooth kernel method. More...

#include <vtkHighestDensityRegionsStatistics.h>

Inheritance diagram for vtkHighestDensityRegionsStatistics:

[legend]

Collaboration diagram for vtkHighestDensityRegionsStatistics:

[legend]

List of all members.

Public Types
typedef vtkStatisticsAlgorithm	Superclass
Public Member Functions
virtual int	IsA (const char *type)
vtkHighestDensityRegionsStatistics *	NewInstance () const
virtual void	PrintSelf (ostream &os, vtkIndent indent)
void	SetSigma (double sigma)

virtual void	Aggregate (vtkDataObjectCollection , vtkMultiBlockDataSet )

virtual double *	GetSmoothHC1 ()
virtual void	GetSmoothHC1 (double data[2])
virtual void	SetSmoothHC1 (double data[])
virtual double *	GetSmoothHC2 ()
virtual void	GetSmoothHC2 (double data[2])
virtual void	SetSmoothHC2 (double data[])
Static Public Member Functions
static int	IsTypeOf (const char *type)
static vtkHighestDensityRegionsStatistics *	SafeDownCast (vtkObjectBase *o)
static vtkHighestDensityRegionsStatistics *	New ()
Protected Member Functions
virtual vtkObjectBase *	NewInstanceInternal () const
	vtkHighestDensityRegionsStatistics ()
	~vtkHighestDensityRegionsStatistics ()
virtual void	Derive (vtkMultiBlockDataSet *)
double	ComputeHDR (vtkDataArray inObservations, vtkDataArray outDensity)

virtual void	Learn (vtkTable , vtkTable , vtkMultiBlockDataSet *)

virtual void	Assess (vtkTable , vtkMultiBlockDataSet , vtkTable *)

virtual void	Test (vtkTable , vtkMultiBlockDataSet , vtkTable *)

virtual void	SelectAssessFunctor (vtkTable , vtkDataObject , vtkStringArray , AssessFunctor &)
Protected Attributes
vtkIdType	NumberOfRequestedColumnsPair

double	SmoothHC1 [2]
double	SmoothHC2 [2]

Detailed Description

Compute a random vector of density f from input observations points. f is computed using a smooth kernel method.

Given a selection of pairs of columns of interest, this class provides the following functionalities, depending on the chosen execution options: Learn: calculates density estimator f of a random vector using a smooth gaussian kernel. The output metadata on port OUTPUT_MODEL is a multiblock dataset containing at one vtkTable holding three columns which are for the first columns the input columns of interest and for the last columns the density estimators of each input pair of columns of interest. Derive: calculate normalized (as a percentage) quantiles coming from Learn output. The second block of the multibloc dataset contains a vtkTable holding some pairs of columns which are for the second one the quantiles ordered from the stronger to the lower and for the first one the correspondand quantile index. Assess: not implemented. Test: not implemented.

Tests:: vtkHighestDensityRegionsStatistics (Tests)

Definition at line 50 of file vtkHighestDensityRegionsStatistics.h.

Member Typedef Documentation

typedef vtkStatisticsAlgorithm vtkHighestDensityRegionsStatistics::Superclass

Reimplemented from vtkStatisticsAlgorithm.

Definition at line 54 of file vtkHighestDensityRegionsStatistics.h.

Constructor & Destructor Documentation

vtkHighestDensityRegionsStatistics::vtkHighestDensityRegionsStatistics ( ) [protected]

vtkHighestDensityRegionsStatistics::~vtkHighestDensityRegionsStatistics ( ) [protected]

Member Function Documentation

static int vtkHighestDensityRegionsStatistics::IsTypeOf ( const char * name ) [static]

Return 1 if this class type is the same type of (or a subclass of) the named class. Returns 0 otherwise. This method works in combination with vtkTypeMacro found in vtkSetGet.h.

Reimplemented from vtkStatisticsAlgorithm.

virtual int vtkHighestDensityRegionsStatistics::IsA ( const char * name ) [virtual]

Return 1 if this class is the same type of (or a subclass of) the named class. Returns 0 otherwise. This method works in combination with vtkTypeMacro found in vtkSetGet.h.

Reimplemented from vtkStatisticsAlgorithm.

static vtkHighestDensityRegionsStatistics* vtkHighestDensityRegionsStatistics::SafeDownCast ( vtkObjectBase * o ) [static]

Reimplemented from vtkStatisticsAlgorithm.

virtual vtkObjectBase* vtkHighestDensityRegionsStatistics::NewInstanceInternal ( ) const [protected, virtual]

Reimplemented from vtkStatisticsAlgorithm.

vtkHighestDensityRegionsStatistics* vtkHighestDensityRegionsStatistics::NewInstance ( ) const

Reimplemented from vtkStatisticsAlgorithm.

virtual void vtkHighestDensityRegionsStatistics::PrintSelf	(	ostream &	os,
		vtkIndent	indent
	)		`[virtual]`

Methods invoked by print to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.

Reimplemented from vtkStatisticsAlgorithm.

static vtkHighestDensityRegionsStatistics* vtkHighestDensityRegionsStatistics::New ( ) [static]

Create an object with Debug turned off, modified time initialized to zero, and reference counting on.

Reimplemented from vtkTableAlgorithm.

virtual void vtkHighestDensityRegionsStatistics::Aggregate	(	vtkDataObjectCollection *	,
		vtkMultiBlockDataSet *
	)		`[inline, virtual]`

Given a collection of models, calculate aggregate model

Implements vtkStatisticsAlgorithm.

Definition at line 60 of file vtkHighestDensityRegionsStatistics.h.

void vtkHighestDensityRegionsStatistics::SetSigma ( double sigma )

H is a positive matrix that defines the smooth direction. In a classical HDR, we don't set a specific smooth direction for the H matrix parameter (SmoothHC1, SmoothHC2). That mean H will be in a diagonal form and equal to sigma * Id.

virtual double* vtkHighestDensityRegionsStatistics::GetSmoothHC1 ( ) [virtual]