Uses of Package
de.lmu.ifi.dbs.elki.distance.similarityfunction

Packages that use de.lmu.ifi.dbs.elki.distance.similarityfunction

Package	Description
de.lmu.ifi.dbs.elki.algorithm.clustering	Clustering algorithms.
de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation	Affinity Propagation (AP) clustering.
de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased	Angle-based outlier detection algorithms.
de.lmu.ifi.dbs.elki.algorithm.outlier.subspace	Subspace outlier detection methods.
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.database.relation	Relations, materialized and virtual (views).
de.lmu.ifi.dbs.elki.distance.distancefunction.adapter	Distance functions deriving distances from e.g. similarity measures
de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic	Distance from probability theory, mostly divergences such as K-L-divergence, J-divergence.
de.lmu.ifi.dbs.elki.distance.distancefunction.set	Distance functions for binary and set type data.
de.lmu.ifi.dbs.elki.distance.similarityfunction	Similarity functions.
de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster	Similarity measures for comparing clusters.
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

Class and Description
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.clustering.affinitypropagation

Class and Description
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.algorithm.outlier.anglebased

Class and Description
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.algorithm.outlier.subspace

Class and Description
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

Class and Description
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

Class and Description
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

Class and Description
PrimitiveSimilarityFunction Interface SimilarityFunction describes the requirements of any similarity function.
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.relation

Class and Description
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.distancefunction.adapter

Class and Description
NormalizedSimilarityFunction Marker interface to signal that the similarity function is normalized to produce values in the range of [0:1].
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.distancefunction.probabilistic

Class and Description
PrimitiveSimilarityFunction Interface SimilarityFunction describes the requirements of any similarity function.
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.distancefunction.set

Class and Description
NormalizedPrimitiveSimilarityFunction Marker interface for similarity functions working on primitive objects, and limited to the 0-1 value range.
NormalizedSimilarityFunction Marker interface to signal that the similarity function is normalized to produce values in the range of [0:1].
PrimitiveSimilarityFunction Interface SimilarityFunction describes the requirements of any similarity function.
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

Class and Description
AbstractIndexBasedSimilarityFunction Abstract super class for distance functions needing a preprocessor.
AbstractIndexBasedSimilarityFunction.Instance The actual instance bound to a particular database.
AbstractIndexBasedSimilarityFunction.Parameterizer Parameterization class.
AbstractPrimitiveSimilarityFunction Base implementation of a similarity function.
AbstractVectorSimilarityFunction Abstract base class for double-valued primitive similarity functions.
DBIDSimilarityFunction Interface DBIDSimilarityFunction describes the requirements of any similarity function defined over object IDs.
FractionalSharedNearestNeighborSimilarityFunction SharedNearestNeighborSimilarityFunction with a pattern defined to accept Strings that define a non-negative Integer.
FractionalSharedNearestNeighborSimilarityFunction.Instance Actual instance for a dataset.
IndexBasedSimilarityFunction Interface for preprocessor/index based similarity functions.
IndexBasedSimilarityFunction.Instance Instance interface for index/preprocessor based distance functions.
Kulczynski1SimilarityFunction Kulczynski similarity 1.
Kulczynski2SimilarityFunction Kulczynski similarity 2.
NormalizedSimilarityFunction Marker interface to signal that the similarity function is normalized to produce values in the range of [0:1].
PrimitiveSimilarityFunction Interface SimilarityFunction describes the requirements of any similarity function.
SharedNearestNeighborSimilarityFunction SharedNearestNeighborSimilarityFunction with a pattern defined to accept Strings that define a non-negative Integer.
SharedNearestNeighborSimilarityFunction.Instance Instance for a particular database.
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.cluster

Class and Description
AbstractPrimitiveSimilarityFunction Base implementation of a similarity function.
NormalizedSimilarityFunction Marker interface to signal that the similarity function is normalized to produce values in the range of [0:1].
PrimitiveSimilarityFunction Interface SimilarityFunction describes the requirements of any similarity function.
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

Class and Description
AbstractPrimitiveSimilarityFunction Base implementation of a similarity function.
AbstractVectorSimilarityFunction Abstract base class for double-valued primitive similarity functions.
PrimitiveSimilarityFunction Interface SimilarityFunction describes the requirements of any similarity function.
SimilarityFunction Interface SimilarityFunction describes the requirements of any similarity function.