Uses of Class
elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor
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Packages that use AbstractMaterializeKNNPreprocessor Package Description elki.database.query.knn elki.index.preprocessed.knn Indexes providing KNN and rKNN data. -
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Uses of AbstractMaterializeKNNPreprocessor in elki.database.query.knn
Fields in elki.database.query.knn declared as AbstractMaterializeKNNPreprocessor Modifier and Type Field Description private AbstractMaterializeKNNPreprocessor<?>PreprocessorKNNQuery. preprocessorThe last preprocessor resultMethods in elki.database.query.knn that return AbstractMaterializeKNNPreprocessor Modifier and Type Method Description AbstractMaterializeKNNPreprocessor<?>PreprocessorKNNQuery. getPreprocessor()Get the preprocessor instance.Constructors in elki.database.query.knn with parameters of type AbstractMaterializeKNNPreprocessor Constructor Description PreprocessorKNNQuery(elki.database.relation.Relation<?> relation, AbstractMaterializeKNNPreprocessor<?> preprocessor)Constructor.PreprocessorSqrtKNNQuery(elki.database.relation.Relation<?> relation, AbstractMaterializeKNNPreprocessor<?> preprocessor)Constructor.PreprocessorSquaredKNNQuery(elki.database.relation.Relation<?> relation, AbstractMaterializeKNNPreprocessor<?> preprocessor)Constructor. -
Uses of AbstractMaterializeKNNPreprocessor in elki.index.preprocessed.knn
Subclasses of AbstractMaterializeKNNPreprocessor in elki.index.preprocessed.knn Modifier and Type Class Description classMaterializeKNNAndRKNNPreprocessor<O>A preprocessor for annotation of the k nearest neighbors and the reverse k nearest neighbors (and their distances) to each database object.classMaterializeKNNPreprocessor<O>A preprocessor for annotation of the k nearest neighbors (and their distances) to each database object.classNNDescent<O>NN-descent (also known as KNNGraph) is an approximate nearest neighbor search algorithm beginning with a random sample, then iteratively refining this sample until.classPartitionApproximationMaterializeKNNPreprocessor<O>A preprocessor for annotation of the k nearest neighbors (and their distances) to each database object.classRandomSampleKNNPreprocessor<O>Class that computed the kNN only on a random sample.classSpacefillingMaterializeKNNPreprocessor<O extends elki.data.NumberVector>Compute the nearest neighbors approximatively using space filling curves.Methods in elki.index.preprocessed.knn that return AbstractMaterializeKNNPreprocessor Modifier and Type Method Description abstract AbstractMaterializeKNNPreprocessor<O>AbstractMaterializeKNNPreprocessor.Factory. instantiate(elki.database.relation.Relation<O> relation)
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