The PCA Analyzer computes the Principal Components Analysis of the given DataSet using the specified descriptors. More...

#include <pca.h>

Inheritance diagram for gaia2::PCA:

Public Member Functions
	PCA (const ParameterMap &params)

Transformation	analyze (const DataSet *dataset, const Region &region) const

Public Member Functions inherited from gaia2::Analyzer
	Analyzer (const ParameterMap &params)

virtual Transformation	analyze (const DataSet *dataset) const

void	checkDataSet (const DataSet *dataset) const
	Checks that the given dataset is valid. More...

void	checkMinPoints (const DataSet *dataset, int n) const
	Checks that the given dataset as at least the specified number of points. More...

const Region &	checkFixedLength (const Region &region, const PointLayout &layout) const
	Checks that the given Region only contains fixed-length descriptors and throws an exception if not. More...

Protected Attributes
QString	_resultName

int	_targetDimension

Real	_coveredVariance

Protected Attributes inherited from gaia2::Analyzer
ParameterMap	_params

QStringList	_descriptorNames

QStringList	_exclude

Additional Inherited Members
Public Attributes inherited from gaia2::Analyzer
QString	name
	Name for the algorithm, usually the key that was used to instantiate it from the factory.

QStringList	validParams
	List of valid parameters this analyzer accepts. More...

Detailed Description

The PCA Analyzer computes the Principal Components Analysis of the given DataSet using the specified descriptors.

NB: the dimension and coveredVariance parameters are exclusive, so you must specify only one of the two.

Parameters

descriptorNames	the names of the descriptors to be included in the PCA analysis. Only accepts real descriptors, can use wildcards. (default: "*").
except	the names of the descriptors to be removed from the selected list specified before. Can use wildcards. (default: "").
resultName	the name of the resulting descriptor. (default: some name constructed from 'pca', the number of dimensions, and the original descriptor names)
dimension	the target (final) dimension.
coveredVariance	the percentage of the total variance to be covered by the PCA. The target dimension will then be chosen as the smallest one that accounts for at least that much variance.

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

Public Member Functions