Here is a list of all class members with links to the classes they belong to:

- b -

• BaseClass : vt::MutableVocabularyTree< Feature, Distance, FeatureAllocator >
• build() : vt::TreeBuilder< Feature, Distance, FeatureAllocator >

- c -

• centers() : vt::MutableVocabularyTree< Feature, Distance, FeatureAllocator >
• centers_ : vt::VocabularyTree< Feature, Distance, FeatureAllocator >
• choose_centers_ : vt::SimpleKmeans< Feature, Distance, FeatureAllocator >
• clear() : vt::VocabularyTree< Feature, Distance, FeatureAllocator >
• cluster() : vt::SimpleKmeans< Feature, Distance, FeatureAllocator >
• clusterOnce() : vt::SimpleKmeans< Feature, Distance, FeatureAllocator >
• clusterPointers() : vt::SimpleKmeans< Feature, Distance, FeatureAllocator >
• computeTfIdfWeights() : vt::Database
• computeVector() : vt::Database
• count : vt::Database::WordFrequency

- d -

• Database() : vt::Database
• database_vectors_ : vt::Database
• dimension() : vt::GenericTree
• distance_ : vt::VocabularyTree< Feature, Distance, FeatureAllocator > , vt::SimpleKmeans< Feature, Distance, FeatureAllocator >
• distance_type : vt::VocabularyTree< Feature, Distance, FeatureAllocator >
• DocumentVector : vt::Database

- f -

• feature_type : vt::distance::L2< Eigen::Matrix< Scalar, Rows, Cols, Options, MaxRows, MaxCols > >
• FeatureVector : vt::TreeBuilder< Feature, Distance, FeatureAllocator >
• find() : vt::Database
• findAndInsert() : vt::Database

- g -

• GenericTree() : vt::GenericTree
• getMaxIterations() : vt::SimpleKmeans< Feature, Distance, FeatureAllocator >
• getRestarts() : vt::SimpleKmeans< Feature, Distance, FeatureAllocator >

- i -

• id : vt::Match , vt::Database::WordFrequency
• initialized() : vt::VocabularyTree< Feature, Distance, FeatureAllocator >
• Initializer : vt::SimpleKmeans< Feature, Distance, FeatureAllocator >
• insert() : vt::Database
• InvertedFile : vt::Database

- k -

• k_ : vt::VocabularyTree< Feature, Distance, FeatureAllocator >
• kmeans() : vt::TreeBuilder< Feature, Distance, FeatureAllocator >
• Kmeans : vt::TreeBuilder< Feature, Distance, FeatureAllocator >
• kmeans() : vt::TreeBuilder< Feature, Distance, FeatureAllocator >
• kmeans_ : vt::TreeBuilder< Feature, Distance, FeatureAllocator >

- l -

• levels() : vt::VocabularyTree< Feature, Distance, FeatureAllocator >
• levels_ : vt::VocabularyTree< Feature, Distance, FeatureAllocator >
• load() : vt::VocabularyTree< Feature, Distance, FeatureAllocator > , vt::GenericTree
• loadWeights() : vt::Database

- m -

• Match() : vt::Match
• max_iterations_ : vt::SimpleKmeans< Feature, Distance, FeatureAllocator >
• MutableVocabularyTree() : vt::MutableVocabularyTree< Feature, Distance, FeatureAllocator >

- n -

• nodes() : vt::MutableVocabularyTree< Feature, Distance, FeatureAllocator >
• normalize() : vt::Database
• num_words_ : vt::VocabularyTree< Feature, Distance, FeatureAllocator >

- o -

• operator()() : vt::distance::L2< Feature > , vt::distance::L2< Eigen::Matrix< Scalar, Rows, Cols, Options, MaxRows, MaxCols > > , vt::InitGiven , vt::InitRandom , vt::distance::L2< cv::Mat >
• operator<() : vt::Match

- q -

• quantize() : vt::VocabularyTree< Feature, Distance, FeatureAllocator >

- r -

• restarts_ : vt::SimpleKmeans< Feature, Distance, FeatureAllocator >
• result_type : vt::distance::L2< cv::Mat > , vt::distance::L2< Eigen::Matrix< Scalar, Rows, Cols, Options, MaxRows, MaxCols > > , vt::distance::L2< Feature >

- s -

• save() : vt::GenericTree , vt::VocabularyTree< Feature, Distance, FeatureAllocator >
• saveWeights() : vt::Database
• score : vt::Match
• setInitMethod() : vt::SimpleKmeans< Feature, Distance, FeatureAllocator >
• setMaxIterations() : vt::SimpleKmeans< Feature, Distance, FeatureAllocator >
• setNodeCounts() : vt::VocabularyTree< Feature, Distance, FeatureAllocator >
• setRestarts() : vt::SimpleKmeans< Feature, Distance, FeatureAllocator >
• setSize() : vt::MutableVocabularyTree< Feature, Distance, FeatureAllocator >
• SimpleKmeans() : vt::SimpleKmeans< Feature, Distance, FeatureAllocator >
• sparseDistance() : vt::Database
• splits() : vt::VocabularyTree< Feature, Distance, FeatureAllocator >
• squared_distance_type : vt::SimpleKmeans< Feature, Distance, FeatureAllocator >

- t -

• tree() : vt::TreeBuilder< Feature, Distance, FeatureAllocator >
• Tree : vt::TreeBuilder< Feature, Distance, FeatureAllocator >
• tree_ : vt::TreeBuilder< Feature, Distance, FeatureAllocator >
• TreeBuilder() : vt::TreeBuilder< Feature, Distance, FeatureAllocator >
• type : vt::DefaultAllocator< Eigen::Matrix< Scalar, Rows, Cols, Options, MaxRows, MaxCols > > , vt::DefaultAllocator< Feature > , vt::distance::Accumulator< T >

- v -

• valid_centers_ : vt::VocabularyTree< Feature, Distance, FeatureAllocator >
• validCenters() : vt::MutableVocabularyTree< Feature, Distance, FeatureAllocator >
• value_type : vt::distance::L2< Eigen::Matrix< Scalar, Rows, Cols, Options, MaxRows, MaxCols > > , vt::distance::L2< Feature >
• VocabularyTree() : vt::VocabularyTree< Feature, Distance, FeatureAllocator >

- w -

• word_files_ : vt::Database
• word_start_ : vt::VocabularyTree< Feature, Distance, FeatureAllocator >
• word_weights_ : vt::Database
• WordFrequency() : vt::Database::WordFrequency
• words() : vt::VocabularyTree< Feature, Distance, FeatureAllocator >

- z -

• zero_ : vt::SimpleKmeans< Feature, Distance, FeatureAllocator > , vt::TreeBuilder< Feature, Distance, FeatureAllocator >