Tapkee
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Class Hierarchy
This inheritance list is sorted roughly, but not completely, alphabetically:
[detail level 123]
 Carpack_wrapper< Scalar, RealScalar >
 Carpack_wrapper< double, double >
 Carpack_wrapper< float, float >
 CArpackGeneralizedSelfAdjointEigenSolver< LMatrixType, RMatrixType, MatrixOperation, BisSPD >
 CBatchCallbackTraits< Callback >
 CCallbacksInitializedState< KernelCallback, DistanceCallback, FeaturesCallback >
 CCell
 CCheckedParameter
 CCheckerPolicyBase
 CPointerCheckerPolicyImpl< T >
 CPointerCheckerPolicyImpl< double >
 CPointerCheckerPolicyImpl< float >
 CPointerCheckerPolicyImpl< int >
 Ccompare_impl< Type, RandomAccessIterator, DistanceCallback >
 Ccompare_impl< DistanceType, RandomAccessIterator, DistanceCallback >
 Ccompare_impl< KernelType, RandomAccessIterator, DistanceCallback >
 Cconditional_select< bool, T >
 Cconditional_select< false, T >
 Cconditional_select< true, T >
 CContext
 CCoverTreePoint< RandomAccessIterator >Class Point to use with John Langford's CoverTree. This class must have some associated functions defined (distance, and print, see below) so it can be used with the CoverTree implementation
 Cd_node< P >
 CDataForErrorFuncData needed to compute error function
 CDataPoint
 CDefaultValue
 CDenseImplicitSquareMatrixOperationMatrix-matrix operation used to compute largest eigenvalues and associated eigenvectors of X*X^T like matrix implicitly. Essentially computes matrix product with provided right-hand side part twice
 CDenseImplicitSquareSymmetricMatrixOperationMatrix-matrix operation used to compute largest eigenvalues and associated eigenvectors of X*X^T like matrix implicitly. Essentially computes matrix product with provided right-hand side part twice
 CDenseInverseMatrixOperationMatrix-matrix operation used to compute smallest eigenvalues and associated eigenvectors of a dense matrix Essentially solves linear system with provided right-hand side part
 CDenseMatrixOperationMatrix-matrix operation used to compute largest eigenvalues and associated eigenvectors. Essentially computes matrix product with provided right-hand side part
 Cdistance_impl< Type, RandomAccessIterator, Callback >
 Cdistance_impl< DistanceType, RandomAccessIterator, Callback >
 Cdistance_impl< KernelType, RandomAccessIterator, Callback >
 CDistanceAndFeaturesInitializedState< DistanceCallback, FeaturesCallback >
 CVpTree< T, distance >::DistanceComparator
 CDistanceComparator< RandomAccessIterator, DistanceCallback >
 CDistanceFirstInitializedState< DistanceCallback >
 Cdistances_comparator< DistanceRecord >
 CDistanceType
 Cds_node< P >
 Cdummy_distance_callback< Data >
 Cdummy_features_callback< Data >
 Cdummy_kernel_callback< Data >
 Ceigen_distance_callback
 Ceigen_features_callback
 Ceigen_kernel_callback
 CEmptyType
 CexceptionSTL class
 Clogic_errorSTL class
 Cruntime_errorSTL class
 Ccancelled_exceptionAn exception type that is thrown when computations were cancelled
 CFeaturesFirstInitializedState< FeaturesCallback >
 Cfibonacci_heapClass fibonacci_heap, a fibonacci heap. Generally used by Isomap for Dijkstra heap algorithm
 Cfibonacci_heap_node
 CVpTree< T, distance >::HeapItem
 CVantagePointTree< RandomAccessIterator, DistanceCallback >::HeapItem
 CImplementationBase< RandomAccessIterator, KernelCallback, DistanceCallback, FeaturesCallback >
 Cinitialize
 Cis_dummy< T >
 CKernelAndDistanceInitializedState< KernelCallback, DistanceCallback >
 CKernelAndFeaturesInitializedState< KernelCallback, FeaturesCallback >
 CKernelDistance< RandomAccessIterator, Callback >
 CKernelDistance< RandomAccessIterator, KernelCallback >
 CKernelFirstInitializedState< KernelCallback >
 CKernelType
 CLoggerImplementationA base class for logger required by the library
 CDefaultLoggerImplementationDefault std::cout implementation of LoggerImplementation
 CLoggingSingletonMain logging singleton used by the library. Can use provided LoggerImplementation if necessary. By default uses DefaultLoggerImplementation
 CMessage
 CMethodTraits< method >Traits used to obtain information about dimension reduction methods compile-time
 Cneighbors_finder< RandomAccessIterator >
 CVpTree< T, distance >::Node
 CVantagePointTree< RandomAccessIterator, DistanceCallback >::Node
 Cnode< P >
 CParameter
 CParameterKeyword< T >
 CParametersInitializedState
 CParametersSet
 Cpimpl_distance_callback< Implementation >
 Cpimpl_kernel_callback< Implementation >
 CPlainDistance< RandomAccessIterator, Callback >
 CPlainDistance< RandomAccessIterator, DistanceCallback >
 Cprecomputed_distance_callback
 Cprecomputed_kernel_callback
 Cpriority_queue< T >STL class
 Creservable_priority_queue< T, Comparator >
 CProjectingFunctionA pimpl wrapper for projecting function
 CProjectionImplementationA base class for implementation of projecting
 CMatrixProjectionImplementationBasic ProjectionImplementation that subtracts mean from the vector and multiplies projecting matrix with it
 CQuadTree
 CSparseInverseMatrixOperationMatrix-matrix operation used to compute smallest eigenvalues and associated eigenvectors of a sparse matrix Essentially solves linear system with provided right-hand side part
 CTapkeeOutputReturn result of the library - a pair of DenseMatrix (embedding) and ProjectingFunction
 Ctimed_context
 CTSNE
 CTypePolicyBase
 CPointerTypePolicyImpl< T >
 Cv_array< T >Class v_array taken directly from JL's implementation
 Cv_array< ScalarType >
 CValueKeeper
 CVantagePointTree< RandomAccessIterator, DistanceCallback >
 CVpTree< T, distance >