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[cpPlugins.git] / lib / cpExtensions / Algorithms / IterativeGaussianModelEstimator.h

diff --git a/lib/cpExtensions/Algorithms/IterativeGaussianModelEstimator.h b/lib/cpExtensions/Algorithms/IterativeGaussianModelEstimator.h
index aa8e6688cc177e918cc18f7cb74a1346b3be00e7..8a30510be5b937606498dfbd43b2bfbdb84958b4 100644 (file)
--- a/lib/cpExtensions/Algorithms/IterativeGaussianModelEstimator.h
+++ b/lib/cpExtensions/Algorithms/IterativeGaussianModelEstimator.h
@@ -11,94 +11,94 @@
 #include <vnl/vnl_matrix.h>
 
 namespace cpExtensions
+{
+  namespace Algorithms
   {
-    namespace Algorithms
+    /**
+     */
+    template< class S, unsigned int D >
+    class IterativeGaussianModelEstimator
+      : public itk::Object
     {
-      /**
-       */
-      template< class S, unsigned int D >
-      class IterativeGaussianModelEstimator
-        : public itk::Object
-      {
-      public:
-        typedef IterativeGaussianModelEstimator Self;
-        typedef itk::Object                     Superclass;
-        typedef itk::SmartPointer< Self >       Pointer;
-        typedef itk::SmartPointer< const Self > ConstPointer;
-
-        typedef S TScalar;
-        itkStaticConstMacro( Dimension, unsigned int, D );
-
-        // Begin concept checking
+    public:
+      typedef IterativeGaussianModelEstimator Self;
+      typedef itk::Object                     Superclass;
+      typedef itk::SmartPointer< Self >       Pointer;
+      typedef itk::SmartPointer< const Self > ConstPointer;
+
+      typedef S TScalar;
+      itkStaticConstMacro( Dimension, unsigned int, D );
+
+      // Begin concept checking
 #ifdef ITK_USE_CONCEPT_CHECKING
-        itkConceptMacro(
-          ScalarTypeHasFloatResolution,
-          ( itk::Concept::IsFloatingPoint< S > )
-          );
+      itkConceptMacro(
+        ScalarTypeHasFloatResolution,
+        ( itk::Concept::IsFloatingPoint< S > )
+        );
 #endif
-        // End concept checking
+      // End concept checking
 
-        typedef vnl_matrix< S >        TMatrix;
-        typedef std::vector< TMatrix > TMatrices;
+      typedef vnl_matrix< S >        TMatrix;
+      typedef std::vector< TMatrix > TMatrices;
 
-      public:
-        itkNewMacro( Self );
-        itkTypeMacro( IterativeGaussianModelEstimator, itkObject );
+    public:
+      itkNewMacro( Self );
+      itkTypeMacro( IterativeGaussianModelEstimator, itkObject );
 
-      public:
-        unsigned long GetNumberOfSamples( ) const
-          { return( ( unsigned long )( this->m_N ) ); }
-        const TMatrix& GetMu( ) const
-          { return( this->m_M ); }
-        const TMatrix& GetOmega( ) const
-          { return( this->m_O ); }
+    public:
+      unsigned long GetNumberOfSamples( ) const
+        { return( ( unsigned long )( this->m_N ) ); }
+      const TMatrix& GetMu( ) const
+        { return( this->m_M ); }
+      const TMatrix& GetOmega( ) const
+        { return( this->m_O ); }
 
-        void SetNumberOfSamples( unsigned long n );
-        void SetMu( const TMatrix& m );
-        void SetOmega( const TMatrix& O );
+      void SetNumberOfSamples( unsigned long n );
+      void SetMu( const TMatrix& m );
+      void SetOmega( const TMatrix& O );
 
-        bool SaveModelToFile( const std::string& filename ) const;
-        bool LoadModelFromFile( const std::string& filename );
+      bool SaveModelToFile( const std::string& filename ) const;
+      bool LoadModelFromFile( const std::string& filename );
 
-        template< class V >
-        S Probability( const V& sample ) const;
+      template< class V >
+      S Probability( const V& sample ) const;
 
-        S Probability( const S& s_x, const S& s_y, ... ) const;
+      S Probability( const S& s_x, const S& s_y, ... ) const;
 
-        template< class V, class M >
-        void GetModel( V& m, M& E ) const;
+      template< class V, class M >
+      void GetModel( V& m, M& E ) const;
 
-        void Clear( );
+      void Clear( );
 
-        template< class V >
-        void AddSample( const V& sample );
+      template< class V >
+      void AddSample( const V& sample );
 
-        void AddSample( const S& s_x, const S& s_y, ... );
+      void AddSample( const S& s_x, const S& s_y, ... );
 
-      protected:
-        IterativeGaussianModelEstimator( );
-        virtual ~IterativeGaussianModelEstimator( );
+    protected:
+      IterativeGaussianModelEstimator( );
+      virtual ~IterativeGaussianModelEstimator( );
 
-      protected:
-        void _UpdateModel( ) const;
+    protected:
+      void _UpdateModel( ) const;
 
-      private:
-        // Purposely not implemented
-        IterativeGaussianModelEstimator( const Self& other );
-        void operator=( const Self& other );
+    private:
+      // Purposely not implemented
+      IterativeGaussianModelEstimator( const Self& other );
+      void operator=( const Self& other );
 
-      protected:
-        S m_N;
-        TMatrix m_M;
-        TMatrix m_O;
+    protected:
+      S m_N;
+      TMatrix m_M;
+      TMatrix m_O;
 
-        mutable bool m_Updated;
-        mutable TMatrix m_Cov;
-        mutable TMatrix m_Inv;
-        mutable S m_Norm;
-      };
+      mutable bool m_Updated;
+      mutable TMatrix m_Cov;
+      mutable TMatrix m_Inv;
+      mutable S m_Norm;
+    };
 
-    } // ecapseman
+  } // ecapseman
 
 } // ecapseman