| Package | Description |
|---|---|
| de.lmu.ifi.dbs.elki.algorithm.clustering |
Clustering algorithms.
|
| de.lmu.ifi.dbs.elki.algorithm.outlier |
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.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.
|
| Class and Description |
|---|
| SharedNearestNeighborSimilarityFunction
SharedNearestNeighborSimilarityFunction with a pattern defined to accept
Strings that define a non-negative Integer.
|
| Class and Description |
|---|
| PrimitiveSimilarityFunction
Interface SimilarityFunction describes the requirements of any similarity
function.
|
| Class and Description |
|---|
| SimilarityFunction
Interface SimilarityFunction describes the requirements of any similarity
function.
|
| Class and Description |
|---|
| SimilarityFunction
Interface SimilarityFunction describes the requirements of any similarity
function.
|
| Class and Description |
|---|
| PrimitiveSimilarityFunction
Interface SimilarityFunction describes the requirements of any similarity
function.
|
| Class and Description |
|---|
| PrimitiveSimilarityFunction
Interface SimilarityFunction describes the requirements of any similarity
function.
|
| Class and Description |
|---|
| NormalizedSimilarityFunction
Marker interface to signal that the similarity function is normalized to
produce values in the range of [0:1].
|
| 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.
|
| 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.
|
| Class and Description |
|---|
| AbstractPrimitiveSimilarityFunction
Base implementation of a similarity function.
|
| PrimitiveSimilarityFunction
Interface SimilarityFunction describes the requirements of any similarity
function.
|
| SimilarityFunction
Interface SimilarityFunction describes the requirements of any similarity
function.
|