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- /**
- * @file KMeansHeuristic.h
- * @brief K-Means
- * @author Erik Rodner, Michael Koch, Michael Trummer
- * @date 02/04/2011
- */
- #ifndef KMeansHeuristicINCLUDE
- #define KMeansHeuristicINCLUDE
- #include <core/basics/Config.h>
- #include <core/vector/Distance.h>
- #include "core/vector/VectorT.h"
- #include "core/vector/MatrixT.h"
- #include "ClusterAlgorithm.h"
- namespace OBJREC
- {
- /** K-Means (but what does Heuristic actually mean? )*/
- class KMeansHeuristic: public ClusterAlgorithm
- {
- protected:
- int noClusters;
- std::string distanceType;
- NICE::VectorDistance<double> *distancefunction;
-
- double compute_assignments(const NICE::VVector & features,
- const NICE::VVector & prototypes, std::vector<int> & assignment);
- double compute_weights(const NICE::VVector & features,
- std::vector<double> & weights, std::vector<int> & assignment);
- double compute_delta(const NICE::VVector & oldprototypes,
- const NICE::VVector & prototypes);
- void initial_guess(const NICE::VVector & features, NICE::VVector & prototypes);
- void print_iteration(int iterations, NICE::VVector & prototypes, double delta);
- int robust_prototypes(const NICE::VVector &features, NICE::VVector &prototypes, std::vector<
- double> & weights, const std::vector<int> & assignment);
- public:
- /** simple constructor */
- KMeansHeuristic(int noClusters, std::string distanceMode = "euclidean");
-
- /**
- * @brief standard constructor
- * @param conf config file specifying all relevant variable settings
- * @param _section name of the section within the configfile where the settings can be found (default: KMeansHeuristic)
- * @date 14-06-2013 (dd-mm-yyyy)
- * @author Alexander Freytag
- */
- KMeansHeuristic( const NICE::Config *conf, const std::string & _section = "KMeansHeuristic");
- /** simple destructor */
- virtual ~KMeansHeuristic();
- void cluster(const NICE::VVector & features, NICE::VVector & prototypes, std::vector<double> & weights, std::vector<int> & assignment);
- };
- } // namespace
- #endif
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