te::rp::ClassifierISOSegStrategy::Parameters Class Reference

Classifier Parameters. More...

#include <ClassifierISOSegStrategy.h>

Inheritance diagram for te::rp::ClassifierISOSegStrategy::Parameters:
te::rp::ClassifierStrategyParameters te::common::AbstractParameters

Public Types

enum  DistanceType { InvalidDistanceType, MahalanobisDistanceType, BhattacharyyaDistanceType }
 

Public Member Functions

AbstractParametersclone () const
 Create a clone copy of this instance. More...
 
const Parametersoperator= (const Parameters &params)
 
 Parameters ()
 
void reset () throw ( te::rp::Exception )
 Clear all internal allocated resources and reset the parameters instance to its initial state. More...
 
 ~Parameters ()
 

Public Attributes

double m_acceptanceThreshold
 The acceptance threshold (the closer to 100%, few clusters are created). More...
 
DistanceType m_distanceType
 Distance type. More...
 

Detailed Description

Classifier Parameters.

Definition at line 63 of file ClassifierISOSegStrategy.h.

Member Enumeration Documentation

Enumerator
InvalidDistanceType 

Invalid distance type.

MahalanobisDistanceType 

Mahalanobis Distance Type.

BhattacharyyaDistanceType 

Bhattacharyya Distance Type.

Definition at line 71 of file ClassifierISOSegStrategy.h.

Constructor & Destructor Documentation

te::rp::ClassifierISOSegStrategy::Parameters::Parameters ( )
te::rp::ClassifierISOSegStrategy::Parameters::~Parameters ( )

Member Function Documentation

AbstractParameters* te::rp::ClassifierISOSegStrategy::Parameters::clone ( ) const
virtual

Create a clone copy of this instance.

Returns
A clone copy of this instance.
Note
The caller will take the ownership of the returned pointer.

Implements te::common::AbstractParameters.

const Parameters& te::rp::ClassifierISOSegStrategy::Parameters::operator= ( const Parameters params)
void te::rp::ClassifierISOSegStrategy::Parameters::reset ( )
throw (te::rp::Exception
)
virtual

Clear all internal allocated resources and reset the parameters instance to its initial state.

Implements te::common::AbstractParameters.

Member Data Documentation

double te::rp::ClassifierISOSegStrategy::Parameters::m_acceptanceThreshold

The acceptance threshold (the closer to 100%, few clusters are created).

Definition at line 79 of file ClassifierISOSegStrategy.h.

DistanceType te::rp::ClassifierISOSegStrategy::Parameters::m_distanceType

Distance type.

Definition at line 78 of file ClassifierISOSegStrategy.h.


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