aimsalgo  5.1.2
Neuroimaging image processing
pcastrategy.h
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33 
34 
35 
36 #ifndef PCASTRATEGY_H
37 #define PCASTRATEGY_H
38 
42 #include <aims/vector/vector.h>
43 #include <vector>
44 #include <list>
45 
46 
47 namespace aims {
48  template<class T>
49  class PcaStrategy : public ClassifStrategy<T> {
50  public:
51  enum DistanceType {
55  INFNORM
56  } ;
57 
58  PcaStrategy( const PcaStrategy<T>& pcaStrat );
59  PcaStrategy( int nbIterations = 50,
60  DistanceType distanceType = NORM2SQR,
61  const std::vector< Individuals<T> >& codeVector = std::vector< Individuals<T> >() ) ;
62  virtual ~PcaStrategy() ;
63  virtual ClassifStrategy<T> * clone() const ;
64 
65  virtual void analyse( const std::vector< std::list< Individuals<T> > >& classes ) ;
66  virtual int agregation( const Individuals<T>& individual ) ;
67  virtual bool classificationCompleted( int nbChanges ) ;
68 
69  private:
70  virtual float distance( const Individuals<T>& individual, int classe ) ;
71  float (Distance<T>:: * myDistance)( const std::vector<T>& ind1, const std::vector<T>& ind2,
72  unsigned int beginIndex, int endIndex ) ;
73  } ;
74 }
75 
76 #endif
virtual void analyse(const std::vector< std::list< Individuals< T > > > &classes)
Definition: pcastrategy_d.h:88
virtual ~PcaStrategy()
Definition: pcastrategy_d.h:75
virtual bool classificationCompleted(int nbChanges)
PcaStrategy(const PcaStrategy< T > &pcaStrat)
Definition: pcastrategy_d.h:42
virtual ClassifStrategy< T > * clone() const
Definition: pcastrategy_d.h:81
virtual int agregation(const Individuals< T > &individual)
Definition: pcastrategy_d.h:94