Implements Bhattacharyya distance based on multinomial model to serve as feature selection criterion. More...
#include <boost/smart_ptr.hpp>
#include <iostream>
#include <sstream>
#include <cmath>
#include "error.hpp"
#include "global.hpp"
#include "criterion_multinom.hpp"
#include "model_multinom.hpp"
Classes | |
class | FST::Criterion_Multinomial_Bhattacharyya< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR > |
Implements Bhattacharyya distance based on multinomial model to serve as feature selection criterion. More... | |
class | FST::Criterion_Multinomial_MI< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR > |
Implements individual Mutual Information based on multinomial model to serve as feature selection criterion in Best Individual Feature setting (feature ranking) only. More... |
Implements Bhattacharyya distance based on multinomial model to serve as feature selection criterion.
====================================================================== Feature Selection Toolbox 3 source code ---------------------------------------