30 #ifndef __PDS_FUNCPROBABILITY_HPP__
31 #define __PDS_FUNCPROBABILITY_HPP__
35 #include <Pds/DataGMM>
51 namespace Probability{
108 const Pds::Vector &Mu,
109 const double &Sigma);
163 const Pds::Vector &Mu,
164 const Pds::Matrix &Sinv);
219 const Pds::Vector &Mu,
220 const Pds::Matrix &Sinv,
285 const std::vector<double> &Pi,
286 const std::vector<Pds::Vector> &Mu,
287 const std::vector<Pds::Matrix> &Sinv);
343 const std::vector<double> &Pi,
344 const std::vector<Pds::Vector> &Mu,
345 const std::vector<Pds::Matrix> &Sinv,
346 const std::vector<double> &Det);
458 const std::vector<double> &Pi,
459 const std::vector<Pds::Vector> &Mu,
460 const std::vector<Pds::Matrix> &Sinv);
517 const std::vector<double> &Pi,
518 const std::vector<Pds::Vector> &Mu,
519 const std::vector<Pds::Matrix> &Sinv,
520 const std::vector<double> &Det);
641 const Pds::Matrix &C,
642 const Pds::Matrix &Sinv,
703 const Pds::Matrix &C,
704 const Pds::Matrix &Sinv,
La clase tipo Pds::DataGMM . Esta clase genera un bloque de datos para analizar curvas de aprendisaje...
Pds::Matrix GMMPartial(const Pds::Matrix &X, const std::vector< double > &Pi, const std::vector< Pds::Vector > &Mu, const std::vector< Pds::Matrix > &Sinv)
Retorna una Matriz . Con este fin, evalua la "Gaussian mixture model partial probability density func...
Pds::Vector MGaussian(const Pds::Matrix &X, const Pds::Vector &Mu, const double &Sigma)
Evalua la "probability density function" de la funcion gaussiana multivariada, usando ,...
Pds::Vector PWCDensity(const Pds::Matrix &X, const Pds::Matrix &C, const Pds::Matrix &Sinv, double h=0.1)
Retorna un vector . Con este fin, evalua la "Parzen Window Classifier probability density function" .
Pds::Vector GMMDensity(const Pds::Matrix &X, const std::vector< double > &Pi, const std::vector< Pds::Vector > &Mu, const std::vector< Pds::Matrix > &Sinv)
Retorna el vector . Con este fin, evalua la "Gaussian mixture probability density function" usando ,...
Nombre de espacio para Pds (Procesamiento Digital de Senales)