Package | Description |
---|---|
de.lmu.ifi.dbs.elki.database.query.distance |
Prepared queries for distances.
|
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.cluster |
Similarity measures for comparing clusters.
|
de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel |
Kernel functions.
|
Modifier and Type | Class and Description |
---|---|
class |
PrimitiveDistanceSimilarityQuery<O>
Combination query class, for convenience.
|
Modifier and Type | Method and Description |
---|---|
<T extends NumberVector> |
HellingerDistanceFunction.instantiate(Relation<T> database) |
Modifier and Type | Method and Description |
---|---|
<T extends O> |
JaccardSimilarityDistanceFunction.instantiate(Relation<T> relation) |
Modifier and Type | Method and Description |
---|---|
<T extends Cluster<?>> |
ClusterJaccardSimilarityFunction.instantiate(Relation<T> relation) |
<T extends Cluster<?>> |
ClusterIntersectionSimilarityFunction.instantiate(Relation<T> relation) |
<T extends Clustering<?>> |
ClusteringRandIndexSimilarityFunction.instantiate(Relation<T> relation) |
<T extends Clustering<?>> |
ClusteringFowlkesMallowsSimilarityFunction.instantiate(Relation<T> relation) |
<T extends Clustering<?>> |
ClusteringDistanceSimilarityFunction.instantiate(Relation<T> relation) |
<T extends Clustering<?>> |
ClusteringBCubedF1SimilarityFunction.instantiate(Relation<T> relation) |
<T extends Clustering<?>> |
ClusteringAdjustedRandIndexSimilarityFunction.instantiate(Relation<T> relation) |
Modifier and Type | Method and Description |
---|---|
<T extends NumberVector> |
PolynomialKernelFunction.instantiate(Relation<T> database) |
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.