latest version v1.9 - last update 24 Nov 2005

lti::adaptiveKMeans::parameters Class Reference

the parameters for the class adaptiveKMeans More...

#include <ltiAdaptiveKMeans.h>

List of all members.

Public Member Functions
	parameters ()
	parameters (const parameters &other)
virtual	~parameters ()
const char *	getTypeName () const
parameters &	copy (const parameters &other)
parameters &	operator= (const parameters &other)
virtual classifier::parameters *	clone () const
virtual bool	write (ioHandler &handler, const bool complete=true) const
virtual bool	read (ioHandler &handler, const bool complete=true)
Public Attributes
double	minNeighborhood
double	maxNeighborhood
double	learnRate
int	nbNeighborhoods
double	minNumberOfPoints
int	nbClusters
bool	detectNeighborhood
int	maxIterations
double	maxDistance

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Detailed Description

the parameters for the class adaptiveKMeans

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Constructor & Destructor Documentation

lti::adaptiveKMeans::parameters::parameters (   )

default constructor

lti::adaptiveKMeans::parameters::parameters (  const parameters &  other  )

copy constructor Parameters: other  the parameters object to be copied

virtual lti::adaptiveKMeans::parameters::~parameters (   )  [virtual]

destructor

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Member Function Documentation

virtual classifier::parameters* lti::adaptiveKMeans::parameters::clone (   )  const [virtual]

returns a pointer to a clone of the parameters

parameters& lti::adaptiveKMeans::parameters::copy (  const parameters &  other  )

copy the contents of a parameters object Parameters: other  the parameters object to be copied Returns: a reference to this parameters object

const char* lti::adaptiveKMeans::parameters::getTypeName (   )  const

returns name of this type

parameters& lti::adaptiveKMeans::parameters::operator= (  const parameters &  other  )

copy the contents of a parameters object Parameters: other  the parameters object to be copied Returns: a reference to this parameters object

virtual bool lti::adaptiveKMeans::parameters::read (  ioHandler &  handler, const bool  complete = true )  [virtual]

read the parameters from the given ioHandler Parameters: handler  the ioHandler to be used complete  if true (the default) the enclosing begin/end will be also written, otherwise only the data block will be written. Returns: true if write was successful

virtual bool lti::adaptiveKMeans::parameters::write (  ioHandler &  handler, const bool  complete = true )  const [virtual]

write the parameters in the given ioHandler Parameters: handler  the ioHandler to be used complete  if true (the default) the enclosing begin/end will be also written, otherwise only the data block will be written. Returns: true if write was successful

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Member Data Documentation

bool lti::adaptiveKMeans::parameters::detectNeighborhood

if true the parameters minNeighborhood, maxNeighborhood, increment and maxDistance will be automaticly be detected

double lti::adaptiveKMeans::parameters::learnRate

the learn rate

double lti::adaptiveKMeans::parameters::maxDistance

if every component of the centroids moves less than this parameter the centroids are stable

int lti::adaptiveKMeans::parameters::maxIterations

maximum number of iterations before the next neighborhood considered

double lti::adaptiveKMeans::parameters::maxNeighborhood

maximum neighborhood

double lti::adaptiveKMeans::parameters::minNeighborhood

minimum neighborhood

double lti::adaptiveKMeans::parameters::minNumberOfPoints

minimum number of points in one cluster. If a cluster has less than this the cluster will be deleted

int lti::adaptiveKMeans::parameters::nbClusters

number of clusters to start with

int lti::adaptiveKMeans::parameters::nbNeighborhoods

the increment of the neighborhood

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

• ltiAdaptiveKMeans.h

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