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Packages that use de.lmu.ifi.dbs.elki.distance.similarityfunction | |
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de.lmu.ifi.dbs.elki.algorithm.clustering | Clustering algorithms
Clustering algorithms are supposed to implement the Algorithm -Interface. |
de.lmu.ifi.dbs.elki.algorithm.outlier | Outlier detection algorithms |
de.lmu.ifi.dbs.elki.database | ELKI database layer - loading, storing, indexing and accessing data |
de.lmu.ifi.dbs.elki.database.query.distance | Prepared queries for distances. |
de.lmu.ifi.dbs.elki.database.query.similarity | Prepared queries for similarity functions. |
de.lmu.ifi.dbs.elki.distance.distancefunction.adapter | Distance functions deriving distances from e.g. similarity measures |
de.lmu.ifi.dbs.elki.distance.similarityfunction | Similarity functions. |
de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel | Kernel functions. |
Classes in de.lmu.ifi.dbs.elki.distance.similarityfunction used by de.lmu.ifi.dbs.elki.algorithm.clustering | |
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SharedNearestNeighborSimilarityFunction
SharedNearestNeighborSimilarityFunction with a pattern defined to accept Strings that define a non-negative Integer. |
Classes in de.lmu.ifi.dbs.elki.distance.similarityfunction used by de.lmu.ifi.dbs.elki.algorithm.outlier | |
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PrimitiveSimilarityFunction
Interface SimilarityFunction describes the requirements of any similarity function. |
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SharedNearestNeighborSimilarityFunction
SharedNearestNeighborSimilarityFunction with a pattern defined to accept Strings that define a non-negative Integer. |
Classes in de.lmu.ifi.dbs.elki.distance.similarityfunction used by de.lmu.ifi.dbs.elki.database | |
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SimilarityFunction
Interface SimilarityFunction describes the requirements of any similarity function. |
Classes in de.lmu.ifi.dbs.elki.distance.similarityfunction used by de.lmu.ifi.dbs.elki.database.query.distance | |
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PrimitiveSimilarityFunction
Interface SimilarityFunction describes the requirements of any similarity function. |
Classes in de.lmu.ifi.dbs.elki.distance.similarityfunction used by de.lmu.ifi.dbs.elki.database.query.similarity | |
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PrimitiveSimilarityFunction
Interface SimilarityFunction describes the requirements of any similarity function. |
Classes in de.lmu.ifi.dbs.elki.distance.similarityfunction used by de.lmu.ifi.dbs.elki.distance.distancefunction.adapter | |
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NormalizedSimilarityFunction
Marker interface to signal that the similarity function is normalized to produce values in the range of [0:1]. |
Classes in de.lmu.ifi.dbs.elki.distance.similarityfunction used by de.lmu.ifi.dbs.elki.distance.similarityfunction | |
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AbstractIndexBasedSimilarityFunction
Abstract super class for distance functions needing a preprocessor. |
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AbstractIndexBasedSimilarityFunction.Instance
The actual instance bound to a particular database. |
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AbstractIndexBasedSimilarityFunction.Parameterizer
Parameterization class. |
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AbstractPrimitiveSimilarityFunction
Base implementation of a similarity function. |
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DBIDSimilarityFunction
Interface DBIDSimilarityFunction describes the requirements of any similarity function defined over object IDs. |
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FractionalSharedNearestNeighborSimilarityFunction
SharedNearestNeighborSimilarityFunction with a pattern defined to accept Strings that define a non-negative Integer. |
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FractionalSharedNearestNeighborSimilarityFunction.Instance
Actual instance for a dataset. |
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IndexBasedSimilarityFunction
Interface for preprocessor/index based similarity functions. |
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IndexBasedSimilarityFunction.Instance
Instance interface for index/preprocessor based distance functions. |
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NormalizedSimilarityFunction
Marker interface to signal that the similarity function is normalized to produce values in the range of [0:1]. |
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PrimitiveSimilarityFunction
Interface SimilarityFunction describes the requirements of any similarity function. |
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SharedNearestNeighborSimilarityFunction
SharedNearestNeighborSimilarityFunction with a pattern defined to accept Strings that define a non-negative Integer. |
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SharedNearestNeighborSimilarityFunction.Instance
Instance for a particular database. |
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SimilarityFunction
Interface SimilarityFunction describes the requirements of any similarity function. |
Classes in de.lmu.ifi.dbs.elki.distance.similarityfunction used by de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel | |
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AbstractPrimitiveSimilarityFunction
Base implementation of a similarity function. |
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PrimitiveSimilarityFunction
Interface SimilarityFunction describes the requirements of any similarity function. |
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SimilarityFunction
Interface SimilarityFunction describes the requirements of any similarity function. |
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