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- NaiveProjectedKNNPreprocessor<O extends elki.data.NumberVector> - Class in elki.index.preprocessed.knn
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Compute the approximate k nearest neighbors using 1 dimensional projections.
- NaiveProjectedKNNPreprocessor(Relation<O>, double, int, RandomProjectionFamily, Random) - Constructor for class elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor
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Constructor.
- NaiveProjectedKNNPreprocessor.Factory<V extends elki.data.NumberVector> - Class in elki.index.preprocessed.knn
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Index factory class
- NaiveProjectedKNNPreprocessor.Factory.Par - Class in elki.index.preprocessed.knn
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Parameterization class.
- NaiveProjectedKNNPreprocessor.NaiveProjectedKNNQuery - Class in elki.index.preprocessed.knn
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KNN Query processor for naive projections.
- NaiveProjectedKNNQuery(DistanceQuery<O>) - Constructor for class elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor.NaiveProjectedKNNQuery
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Constructor.
- NNDescent<O> - Class in elki.index.preprocessed.knn
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NN-descent (also known as KNNGraph) is an approximate nearest neighbor search algorithm beginning with a random sample, then iteratively refining this sample until.
- NNDescent(Relation<O>, Distance<? super O>, int, RandomFactory, double, double, boolean, int) - Constructor for class elki.index.preprocessed.knn.NNDescent
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Constructor.
- NNDescent.Factory<O> - Class in elki.index.preprocessed.knn
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Index factory.
- noInitialNeighbors - Variable in class elki.index.preprocessed.knn.NNDescent.Factory
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set initial neighbors?
- noInitialNeighbors - Variable in class elki.index.preprocessed.knn.NNDescent
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Do not use initial neighbors
- NUMBER_OF_NEIGHBORS_ID - Static variable in class elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor.Factory
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Parameter to indicate the number of neighbors to be taken into account for the shared-nearest-neighbor similarity.
- numberOfNeighbors - Variable in class elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor.Factory
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Holds the number of nearest neighbors to be used.
- numberOfNeighbors - Variable in class elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor.Factory.Par
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Holds the number of nearest neighbors to be used.
- numberOfNeighbors - Variable in class elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor
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Holds the number of nearest neighbors to be used.
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