aimsalgo  5.1.2
Neuroimaging image processing
classifstrategy.h
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33 
34 
35 
36 #ifndef CLASSIFSTRATEGY_H
37 #define CLASSIFSTRATEGY_H
38 
40 #include <aims/vector/vector.h>
41 #include <vector>
42 #include <list>
43 
44 namespace aims{
45  template<class T>
47  public:
48  ClassifStrategy( int maxNbOfIterations = 50 ) ;
49  virtual ~ClassifStrategy() ;
50 
51  virtual ClassifStrategy<T> * clone() const = 0 ;
52  bool isValidStrategy(){ return myValidStrategy ; }
53  void reset() { myInit = true ; }
54  bool isInit() { return myInit ; }
56  int getMaxNbOfIterations() const { return myMaxNbOfIterations ; }
57 
58  virtual void init( std::string initializationType, int nbOfClasses,
59  std::vector< std::list< Individuals<T> > >& classes ) = 0 ;
60  virtual double iterate ( int& nbOfIterations,
61  std::vector< std::list< Individuals<T> > >& classes ) = 0 ;
62  virtual void analyse( const std::vector< std::list< Individuals<T> > >& classes ) = 0 ;
63  virtual int aggregate( const Individuals<T>& individual ) = 0 ;
64 
65  virtual Individuals<T> getMeanValue( int classe ) = 0 ;
66  virtual std::vector< Individuals<T> > getMeanVector() = 0 ;
67 
68  virtual double globInertia( const std::vector< std::list< Individuals<T> > >& classes ) = 0 ;
69 
70  protected:
71  virtual float distance( const Individuals<T>& individual, int classe ) = 0 ;
72  // type de données: vecteur de listes d'individus (pour chaque classe, on a la liste des individus)
73  int myMaxNbOfIterations ; // nombre maximum d'itérations
74  bool myValidStrategy ; // strategie valide ?
75  bool myInit ; // initialisation faite ou non ?
76  bool myCodeVectorsGiven ; // vecteurs codes donnes ou non ?
77  } ;
78 }
79 
80 
81 #endif
virtual void analyse(const std::vector< std::list< Individuals< T > > > &classes)=0
virtual ClassifStrategy< T > * clone() const =0
virtual double globInertia(const std::vector< std::list< Individuals< T > > > &classes)=0
int getMaxNbOfIterations() const
virtual std::vector< Individuals< T > > getMeanVector()=0
virtual Individuals< T > getMeanValue(int classe)=0
virtual float distance(const Individuals< T > &individual, int classe)=0
virtual int aggregate(const Individuals< T > &individual)=0
ClassifStrategy(int maxNbOfIterations=50)
virtual void init(std::string initializationType, int nbOfClasses, std::vector< std::list< Individuals< T > > > &classes)=0
virtual double iterate(int &nbOfIterations, std::vector< std::list< Individuals< T > > > &classes)=0