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 | 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().