| Package | Description |
|---|---|
| de.lmu.ifi.dbs.elki.algorithm |
Algorithms suitable as a task for the
KDDTask main routine. |
| de.lmu.ifi.dbs.elki.algorithm.clustering |
Clustering algorithms
Clustering algorithms are supposed to implement the
Algorithm-Interface. |
| de.lmu.ifi.dbs.elki.algorithm.clustering.correlation |
Correlation clustering algorithms
|
| de.lmu.ifi.dbs.elki.algorithm.clustering.subspace |
Axis-parallel subspace clustering algorithms
The clustering algorithms in this package are instances of both, projected clustering algorithms or
subspace clustering algorithms according to the classical but somewhat obsolete classification schema
of clustering algorithms for axis-parallel subspaces.
|
| de.lmu.ifi.dbs.elki.algorithm.outlier |
Outlier detection algorithms
|
| de.lmu.ifi.dbs.elki.algorithm.outlier.spatial |
Spatial outlier detection algorithms
|
| de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood |
Spatial outlier neighborhood classes
|
| de.lmu.ifi.dbs.elki.algorithm.statistics |
Statistical analysis algorithms
The algorithms in this package perform statistical analysis of the data
(e.g. compute distributions, distance distributions etc.)
|
| de.lmu.ifi.dbs.elki.application.cache |
Utility applications for the persistence layer such as distance cache builders.
|
| de.lmu.ifi.dbs.elki.application.visualization |
Visualization applications in ELKI.
|
| 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.datasource.parser |
Parsers for different file formats and data types.
|
| de.lmu.ifi.dbs.elki.distance.distancefunction |
Distance functions for use within ELKI.
|
| de.lmu.ifi.dbs.elki.distance.distancefunction.adapter |
Distance functions deriving distances from e.g. similarity measures
|
| de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram |
Distance functions using correlations.
|
| de.lmu.ifi.dbs.elki.distance.distancefunction.correlation |
Distance functions using correlations.
|
| de.lmu.ifi.dbs.elki.distance.distancefunction.external |
Distance functions using external data sources.
|
| de.lmu.ifi.dbs.elki.distance.distancefunction.geo |
Geographic (earth) distance functions.
|
| de.lmu.ifi.dbs.elki.distance.distancefunction.subspace |
Distance functions based on subspaces.
|
| de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries |
Distance functions designed for time series.
|
| de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel |
Kernel functions.
|
| de.lmu.ifi.dbs.elki.evaluation.similaritymatrix |
Render a distance matrix to visualize a clustering-distance-combination.
|
| de.lmu.ifi.dbs.elki.index.preprocessed.knn |
Indexes providing KNN and rKNN data.
|
| de.lmu.ifi.dbs.elki.index.preprocessed.localpca |
Index using a preprocessed local PCA.
|
| de.lmu.ifi.dbs.elki.index.preprocessed.snn |
Indexes providing nearest neighbor sets
|
| de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj |
Index using a preprocessed local subspaces.
|
| de.lmu.ifi.dbs.elki.index.tree.metrical |
Tree-based index structures for metrical vector spaces.
|
| de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants |
M-Tree and variants.
|
| de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees |
Metrical index structures based on the concepts of the M-Tree
supporting processing of reverse k nearest neighbor queries by
using the k-nn distances of the entries.
|
| de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp | |
| de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop | |
| de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax | |
| de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab | |
| de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree | |
| de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query |
Queries on the R-Tree family of indexes: kNN and range queries.
|
| de.lmu.ifi.dbs.elki.math.linearalgebra.pca |
Principal Component Analysis (PCA) and Eigenvector processing.
|
| de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters |
Classes for various typed parameters.
|
| Class and Description |
|---|
| DistanceFunction
Base interface for any kind of distances.
|
| PrimitiveDistanceFunction
Primitive distance function that is defined on some kind of object.
|
| Class and Description |
|---|
| DistanceFunction
Base interface for any kind of distances.
|
| LocallyWeightedDistanceFunction
Provides a locally weighted distance function.
|
| LocallyWeightedDistanceFunction.Instance
Instance of this distance for a particular database.
|
| PrimitiveDistanceFunction
Primitive distance function that is defined on some kind of object.
|
| SpatialPrimitiveDistanceFunction
API for a spatial primitive distance function.
|
| Class and Description |
|---|
| FilteredLocalPCABasedDistanceFunction
Interface for local PCA based preprocessors.
|
| FilteredLocalPCABasedDistanceFunction.Instance
Instance produced by the distance function.
|
| LocallyWeightedDistanceFunction
Provides a locally weighted distance function.
|
| Class and Description |
|---|
| LocallyWeightedDistanceFunction
Provides a locally weighted distance function.
|
| Class and Description |
|---|
| DistanceFunction
Base interface for any kind of distances.
|
| Class and Description |
|---|
| DistanceFunction
Base interface for any kind of distances.
|
| PrimitiveDistanceFunction
Primitive distance function that is defined on some kind of object.
|
| Class and Description |
|---|
| DistanceFunction
Base interface for any kind of distances.
|
| Class and Description |
|---|
| DistanceFunction
Base interface for any kind of distances.
|
| Class and Description |
|---|
| DistanceFunction
Base interface for any kind of distances.
|
| Class and Description |
|---|
| DistanceFunction
Base interface for any kind of distances.
|
| Class and Description |
|---|
| DistanceFunction
Base interface for any kind of distances.
|
| Class and Description |
|---|
| DBIDDistanceFunction
Distance functions valid in a database context only (i.e. for DBIDs)
For any "distance" that cannot be computed for arbitrary objects, only those
that exist in the database and referenced by their ID.
|
| DistanceFunction
Base interface for any kind of distances.
|
| PrimitiveDistanceFunction
Primitive distance function that is defined on some kind of object.
|
| SpatialPrimitiveDistanceFunction
API for a spatial primitive distance function.
|
| Class and Description |
|---|
| DistanceFunction
Base interface for any kind of distances.
|
| Class and Description |
|---|
| AbstractCosineDistanceFunction
Abstract base class for Cosine and ArcCosine distances.
|
| AbstractDatabaseDistanceFunction
Abstract super class for distance functions needing a database context.
|
| AbstractDBIDDistanceFunction
AbstractDistanceFunction provides some methods valid for any extending class.
|
| AbstractIndexBasedDistanceFunction
Abstract super class for distance functions needing a database index.
|
| AbstractIndexBasedDistanceFunction.Instance
The actual instance bound to a particular database.
|
| AbstractIndexBasedDistanceFunction.Parameterizer
Parameterization class.
|
| AbstractPrimitiveDistanceFunction
AbstractDistanceFunction provides some methods valid for any extending class.
|
| AbstractVectorDoubleDistanceFunction
Abstract base class for the most common family of distance functions: defined
on number vectors and returning double values.
|
| ArcCosineDistanceFunction
Cosine distance function for feature vectors.
|
| CosineDistanceFunction
Cosine distance function for feature vectors.
|
| DBIDDistanceFunction
Distance functions valid in a database context only (i.e. for DBIDs)
For any "distance" that cannot be computed for arbitrary objects, only those
that exist in the database and referenced by their ID.
|
| DistanceFunction
Base interface for any kind of distances.
|
| EuclideanDistanceFunction
Provides the Euclidean distance for FeatureVectors.
|
| FilteredLocalPCABasedDistanceFunction
Interface for local PCA based preprocessors.
|
| FilteredLocalPCABasedDistanceFunction.Instance
Instance produced by the distance function.
|
| IndexBasedDistanceFunction
Distance function relying on an index (such as preprocessed neighborhoods).
|
| IndexBasedDistanceFunction.Instance
Instance interface for Index based distance functions.
|
| LocallyWeightedDistanceFunction
Provides a locally weighted distance function.
|
| LocallyWeightedDistanceFunction.Instance
Instance of this distance for a particular database.
|
| LPNormDistanceFunction
Provides a LP-Norm for FeatureVectors.
|
| ManhattanDistanceFunction
Manhattan distance function to compute the Manhattan distance for a pair of
FeatureVectors.
|
| MaximumDistanceFunction
Maximum distance function to compute the Maximum distance for a pair of
FeatureVectors.
|
| MinimumDistanceFunction
Maximum distance function to compute the Minimum distance for a pair of
FeatureVectors.
|
| MinKDistance
A distance that is at least the distance to the kth nearest neighbor.
|
| PrimitiveDistanceFunction
Primitive distance function that is defined on some kind of object.
|
| PrimitiveDoubleDistanceFunction
Interface for distance functions that can provide a raw double value.
|
| ProxyDistanceFunction
Distance function to proxy computations to another distance (that probably
was run before).
|
| RandomStableDistanceFunction
This is a dummy distance providing random values (obviously not metrical),
useful mostly for unit tests and baseline evaluations: obviously this
distance provides no benefit whatsoever.
|
| SharedNearestNeighborJaccardDistanceFunction
SharedNearestNeighborJaccardDistanceFunction computes the Jaccard
coefficient, which is a proper distance metric.
|
| SharedNearestNeighborJaccardDistanceFunction.Instance
Actual instance for a dataset.
|
| SpatialPrimitiveDistanceFunction
API for a spatial primitive distance function.
|
| SpatialPrimitiveDoubleDistanceFunction
Interface combining spatial primitive distance functions with primitive
number distance functions.
|
| SquaredEuclideanDistanceFunction
Provides the squared Euclidean distance for FeatureVectors.
|
| Class and Description |
|---|
| AbstractDatabaseDistanceFunction
Abstract super class for distance functions needing a database context.
|
| AbstractDatabaseDistanceFunction.Instance
The actual instance bound to a particular database.
|
| DistanceFunction
Base interface for any kind of distances.
|
| Class and Description |
|---|
| AbstractPrimitiveDistanceFunction
AbstractDistanceFunction provides some methods valid for any extending class.
|
| AbstractVectorDoubleDistanceFunction
Abstract base class for the most common family of distance functions: defined
on number vectors and returning double values.
|
| DistanceFunction
Base interface for any kind of distances.
|
| PrimitiveDistanceFunction
Primitive distance function that is defined on some kind of object.
|
| PrimitiveDoubleDistanceFunction
Interface for distance functions that can provide a raw double value.
|
| SpatialPrimitiveDistanceFunction
API for a spatial primitive distance function.
|
| SpatialPrimitiveDoubleDistanceFunction
Interface combining spatial primitive distance functions with primitive
number distance functions.
|
| WeightedDistanceFunction
Provides the Weighted distance for feature vectors.
|
| Class and Description |
|---|
| AbstractDatabaseDistanceFunction
Abstract super class for distance functions needing a database context.
|
| AbstractIndexBasedDistanceFunction
Abstract super class for distance functions needing a database index.
|
| AbstractIndexBasedDistanceFunction.Instance
The actual instance bound to a particular database.
|
| AbstractIndexBasedDistanceFunction.Parameterizer
Parameterization class.
|
| AbstractPrimitiveDistanceFunction
AbstractDistanceFunction provides some methods valid for any extending class.
|
| AbstractVectorDoubleDistanceFunction
Abstract base class for the most common family of distance functions: defined
on number vectors and returning double values.
|
| DistanceFunction
Base interface for any kind of distances.
|
| FilteredLocalPCABasedDistanceFunction
Interface for local PCA based preprocessors.
|
| FilteredLocalPCABasedDistanceFunction.Instance
Instance produced by the distance function.
|
| IndexBasedDistanceFunction
Distance function relying on an index (such as preprocessed neighborhoods).
|
| IndexBasedDistanceFunction.Instance
Instance interface for Index based distance functions.
|
| PrimitiveDistanceFunction
Primitive distance function that is defined on some kind of object.
|
| PrimitiveDoubleDistanceFunction
Interface for distance functions that can provide a raw double value.
|
| Class and Description |
|---|
| AbstractDBIDDistanceFunction
AbstractDistanceFunction provides some methods valid for any extending class.
|
| DBIDDistanceFunction
Distance functions valid in a database context only (i.e. for DBIDs)
For any "distance" that cannot be computed for arbitrary objects, only those
that exist in the database and referenced by their ID.
|
| DistanceFunction
Base interface for any kind of distances.
|
| Class and Description |
|---|
| AbstractPrimitiveDistanceFunction
AbstractDistanceFunction provides some methods valid for any extending class.
|
| AbstractVectorDoubleDistanceFunction
Abstract base class for the most common family of distance functions: defined
on number vectors and returning double values.
|
| DistanceFunction
Base interface for any kind of distances.
|
| PrimitiveDistanceFunction
Primitive distance function that is defined on some kind of object.
|
| PrimitiveDoubleDistanceFunction
Interface for distance functions that can provide a raw double value.
|
| Class and Description |
|---|
| AbstractDatabaseDistanceFunction
Abstract super class for distance functions needing a database context.
|
| AbstractIndexBasedDistanceFunction
Abstract super class for distance functions needing a database index.
|
| AbstractIndexBasedDistanceFunction.Instance
The actual instance bound to a particular database.
|
| AbstractIndexBasedDistanceFunction.Parameterizer
Parameterization class.
|
| AbstractPrimitiveDistanceFunction
AbstractDistanceFunction provides some methods valid for any extending class.
|
| DistanceFunction
Base interface for any kind of distances.
|
| FilteredLocalPCABasedDistanceFunction
Interface for local PCA based preprocessors.
|
| FilteredLocalPCABasedDistanceFunction.Instance
Instance produced by the distance function.
|
| IndexBasedDistanceFunction
Distance function relying on an index (such as preprocessed neighborhoods).
|
| IndexBasedDistanceFunction.Instance
Instance interface for Index based distance functions.
|
| PrimitiveDistanceFunction
Primitive distance function that is defined on some kind of object.
|
| PrimitiveDoubleDistanceFunction
Interface for distance functions that can provide a raw double value.
|
| SpatialPrimitiveDistanceFunction
API for a spatial primitive distance function.
|
| SpatialPrimitiveDoubleDistanceFunction
Interface combining spatial primitive distance functions with primitive
number distance functions.
|
| Class and Description |
|---|
| AbstractPrimitiveDistanceFunction
AbstractDistanceFunction provides some methods valid for any extending class.
|
| AbstractVectorDoubleDistanceFunction
Abstract base class for the most common family of distance functions: defined
on number vectors and returning double values.
|
| DistanceFunction
Base interface for any kind of distances.
|
| PrimitiveDistanceFunction
Primitive distance function that is defined on some kind of object.
|
| PrimitiveDoubleDistanceFunction
Interface for distance functions that can provide a raw double value.
|
| Class and Description |
|---|
| AbstractPrimitiveDistanceFunction
AbstractDistanceFunction provides some methods valid for any extending class.
|
| DistanceFunction
Base interface for any kind of distances.
|
| PrimitiveDistanceFunction
Primitive distance function that is defined on some kind of object.
|
| Class and Description |
|---|
| DistanceFunction
Base interface for any kind of distances.
|
| Class and Description |
|---|
| DistanceFunction
Base interface for any kind of distances.
|
| Class and Description |
|---|
| DistanceFunction
Base interface for any kind of distances.
|
| Class and Description |
|---|
| DistanceFunction
Base interface for any kind of distances.
|
| Class and Description |
|---|
| DistanceFunction
Base interface for any kind of distances.
|
| Class and Description |
|---|
| DistanceFunction
Base interface for any kind of distances.
|
| Class and Description |
|---|
| DistanceFunction
Base interface for any kind of distances.
|
| Class and Description |
|---|
| DistanceFunction
Base interface for any kind of distances.
|
| Class and Description |
|---|
| DistanceFunction
Base interface for any kind of distances.
|
| Class and Description |
|---|
| DistanceFunction
Base interface for any kind of distances.
|
| Class and Description |
|---|
| DistanceFunction
Base interface for any kind of distances.
|
| Class and Description |
|---|
| DistanceFunction
Base interface for any kind of distances.
|
| Class and Description |
|---|
| DistanceFunction
Base interface for any kind of distances.
|
| Class and Description |
|---|
| SpatialPrimitiveDistanceFunction
API for a spatial primitive distance function.
|
| SpatialPrimitiveDoubleDistanceFunction
Interface combining spatial primitive distance functions with primitive
number distance functions.
|
| Class and Description |
|---|
| PrimitiveDistanceFunction
Primitive distance function that is defined on some kind of object.
|
| Class and Description |
|---|
| DistanceFunction
Base interface for any kind of distances.
|