GClasses::GLNormDistance Class Reference

Detailed Description

Interpolates between manhattan distance (norm=1), Euclidean distance (norm=2), and Chebyshev distance (norm=infinity). For nominal attributes, Hamming distance is used.

#include <GDistance.h>

Inheritance diagram for GClasses::GLNormDistance:

Public Member Functions
	GLNormDistance (double norm)
	GLNormDistance (GDomNode *pNode)
virtual	~GLNormDistance ()
virtual void	init (const GRelation *pRelation, bool own)
	See the comment for GDistanceMetric::init. More...
virtual const char *	name () const
	Returns the name of this class. More...
virtual GDomNode *	serialize (GDom *pDoc) const
	See the comment for GDistanceMetric::serialize. More...
void	setDiffWithUnknown (double d)
	Specify the difference to use when one or more of the values is unknown. (If your data contains unknown values, you may want to normalize the known values to fall within some pre-determined range, so that it will be possible to select a reasonable value for this purpose.) More...
virtual double	squaredDistance (const GVec &a, const GVec &b) const
	Returns the distance (using the norm passed to the constructor) between pA and pB. More...
Public Member Functions inherited from GClasses::GDistanceMetric
	GDistanceMetric ()
	GDistanceMetric (GDomNode *pNode)
virtual	~GDistanceMetric ()
double	operator() (const GVec &a, const GVec &b) const
	Return squaredDistance(pA, pB). Allows dissimilarity metrics to be used as function objects. Do not override. Override squaredDistance(pA,pB) instead. See GDistanceMetric::squaredDistance(const GVec&, const GVec&) More...
const GRelation *	relation () const
	Returns the relation that specifies the meaning of the vector elements. More...
virtual GVec &	scaleFactors ()
	Returns a reference to the vector of attribute scalars. More...

Protected Attributes
double	m_diffWithUnknown
double	m_norm
Protected Attributes inherited from GClasses::GDistanceMetric
bool	m_ownRelation
const GRelation *	m_pRelation
GVec	m_scaleFactors

Additional Inherited Members
Static Public Member Functions inherited from GClasses::GDistanceMetric
static GDistanceMetric *	deserialize (GDomNode *pNode)
	Deserializes a distance metric. More...
static void	test ()
Protected Member Functions inherited from GClasses::GDistanceMetric
GDomNode *	baseDomNode (GDom *pDoc) const
void	setRelation (const GRelation *pRelation, bool own)
	Sets the relation to use with this metric. Takes ownership of the relation iff own is true. More...

Constructor & Destructor Documentation

GClasses::GLNormDistance::GLNormDistance

(

double

norm

)

GClasses::GLNormDistance::GLNormDistance

(

GDomNode *

pNode

)

virtual GClasses::GLNormDistance::~GLNormDistance ( )

inlinevirtual

Member Function Documentation

virtual void GClasses::GLNormDistance::init ( const GRelation *  pRelation, bool  own  )

virtual

See the comment for GDistanceMetric::init.

Implements GClasses::GDistanceMetric.

virtual const char* GClasses::GLNormDistance::name ( ) const

inlinevirtual

Returns the name of this class.

Implements GClasses::GDistanceMetric.

virtual GDomNode* GClasses::GLNormDistance::serialize ( GDom *  pDoc ) const

virtual

See the comment for GDistanceMetric::serialize.

Implements GClasses::GDistanceMetric.

void GClasses::GLNormDistance::setDiffWithUnknown ( double  d )

inline

Specify the difference to use when one or more of the values is unknown. (If your data contains unknown values, you may want to normalize the known values to fall within some pre-determined range, so that it will be possible to select a reasonable value for this purpose.)

virtual double GClasses::GLNormDistance::squaredDistance ( const GVec &  a, const GVec &  b  ) const

virtual

Returns the distance (using the norm passed to the constructor) between pA and pB.

Implements GClasses::GDistanceMetric.

Member Data Documentation

double GClasses::GLNormDistance::m_diffWithUnknown

protected

double GClasses::GLNormDistance::m_norm

protected