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 | InputOutputAdaptor |
Classifiers input and output data adaptor. More... | |
class | ISOData |
ISOData strategy for an unsupervised pixel-based classification algorithm. 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... | |
Namespace for classification module of TerraLib.
TECLEXPORT double te::cl::GetEuclideanDistance | ( | std::vector< double > | v1, |
std::vector< double > | v2 | ||
) |
Computes euclidean distance between two double vectors.
v1 | The first vector. |
v2 | The second vector. |
Referenced by te::cl::KMeans< TTRAIN, TCLASSIFY >::getClassification().