te::cl Namespace Reference

Namespace for classification module of TerraLib. More...

Classes
class	Dummy
	Dummy classifier (just for testing purposes). More...
class	InputAdaptor
	Classifiers input data adaptor. More...
class	KMeans
	KMeans strategy for classification. Step-by-step: More...
class	MAP
	MAP strategy for classification. More...
class	MaxLikelihood
	A maximum likelihood estimation strategy for classification (a.k.a. MaxVer in portuguese). More...
class	OutputAdaptor
	Classifiers output data adaptor. More...
class	ROI
	A region of interest (often abbreviated ROI), is a selected subset of samples within a dataset identified for a particular purpose. More...
class	ROISet
	A ROISet is a set of ROI's. More...
class	VectorOfVectorsInputAdaptor
class	VectorOutputAdaptor
	Classifiers vector container output data adaptor. More...

Functions
TECLEXPORT double	GetEuclideanDistance (std::vector< double > v1, std::vector< double > v2)
	Computes euclidean distance between two double vectors. More...

Detailed Description

Namespace for classification module of TerraLib.

Function Documentation

GetEuclideanDistance()

TECLEXPORT double te::cl::GetEuclideanDistance	(	std::vector< double >	v1,
		std::vector< double >	v2
	)

Computes euclidean distance between two double vectors.

Parameters

v1	The first vector.
v2	The second vector.

Returns

The euclidean distance between v1 and v2.

Referenced by te::cl::KMeans< TTRAIN, TCLASSIFY >::getClassification().