Package | Description |
---|---|
de.lmu.ifi.dbs.elki.algorithm |
Algorithms suitable as a task for the
KDDTask main routine. |
de.lmu.ifi.dbs.elki.algorithm.benchmark |
Benchmarking pseudo algorithms.
|
de.lmu.ifi.dbs.elki.algorithm.clustering |
Clustering algorithms.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation |
Correlation clustering algorithms
|
de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan |
Generalized DBSCAN.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans |
K-means clustering and variations.
|
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.outlier.subspace |
Subspace outlier detection methods.
|
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.greedyensemble |
Greedy ensembles for outlier detection.
|
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.database.query.knn |
Prepared queries for k nearest neighbor (kNN) queries.
|
de.lmu.ifi.dbs.elki.datasource.filter.normalization |
Data normalization.
|
de.lmu.ifi.dbs.elki.distance | |
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.distanceresultlist |
Classes for building and storing the results of distance-based queries
The classes in this package essentially form three groups:
KNNHeap for building kNN results. |
de.lmu.ifi.dbs.elki.distance.similarityfunction |
Similarity functions.
|
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.metrical.mtreevariants.query |
Classes for performing queries (knn, range, ...) on metrical trees.
|
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.index.tree.spatial.rstarvariants.strategies.reinsert |
Reinsertion strategies for R-Trees
|
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.
|
tutorial.clustering |
Classes from the tutorial on implementing a custom k-means variation.
|
tutorial.distancefunction |
Classes from the tutorial on implementing distance functions.
|
tutorial.outlier |
Class and Description |
---|
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.
|
SpatialPrimitiveDoubleDistanceFunction
Interface combining spatial primitive distance functions with primitive
number distance functions.
|
Class and Description |
---|
DistanceFunction
Base interface for any kind of distances.
|
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.
|
PrimitiveDoubleDistanceFunction
Interface for distance functions that can provide a raw double value.
|
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 |
---|
DistanceFunction
Base interface for any kind of distances.
|
Class and Description |
---|
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 |
---|
LocallyWeightedDistanceFunction
Provides a locally weighted distance function.
|
Class and Description |
---|
DistanceFunction
Base interface for any kind of distances.
|
LPNormDistanceFunction
Provides a LP-Norm for FeatureVectors.
|
NumberVectorDistanceFunction
Base interface for the common case of distance functions defined on numerical vectors.
|
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 |
---|
PrimitiveDoubleDistanceFunction
Interface for distance functions that can provide a raw double value.
|
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.
|
PrimitiveDoubleDistanceFunction
Interface for distance functions that can provide a raw double value.
|
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 |
---|
PrimitiveDoubleDistanceFunction
Interface for distance functions that can provide a raw double value.
|
Class and Description |
---|
DoubleNorm
Interface for norms in the double domain.
|
Class and Description |
---|
DistanceFunction
Base interface for any kind of distances.
|
Class and Description |
---|
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.
|
AbstractVectorDoubleDistanceNorm
Abstract base class for double-valued number-vector-based distances based on
norms.
|
ArcCosineDistanceFunction
Cosine distance function for feature vectors.
|
CanberraDistanceFunction
Canberra distance function, a variation of Manhattan distance.
|
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.
|
DoubleNorm
Interface for norms in the double domain.
|
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.
|
JeffreyDivergenceDistanceFunction
Provides the Jeffrey Divergence Distance for FeatureVectors.
|
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.
|
Norm
Abstract interface for a mathematical norm.
|
NumberVectorDistanceFunction
Base interface for the common case of distance functions defined on numerical vectors.
|
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.
|
SparseEuclideanDistanceFunction
Euclidean distance function.
|
SparseLPNormDistanceFunction
Provides a LP-Norm for FeatureVectors.
|
SparseManhattanDistanceFunction
Manhattan distance function.
|
SparseMaximumDistanceFunction
Maximum distance function.
|
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.
|
NumberVectorDistanceFunction
Base interface for the common case of distance functions defined on numerical vectors.
|
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.
|
NumberVectorDistanceFunction
Base interface for the common case of distance functions defined on numerical vectors.
|
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.
|
NumberVectorDistanceFunction
Base interface for the common case of distance functions defined on numerical vectors.
|
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 |
---|
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.
|
DoubleNorm
Interface for norms in the double domain.
|
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.
|
Norm
Abstract interface for a mathematical norm.
|
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.
|
NumberVectorDistanceFunction
Base interface for the common case of distance functions defined on numerical vectors.
|
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 |
---|
DistanceFunction
Base interface for any kind of distances.
|
Class and Description |
---|
PrimitiveDistanceFunction
Primitive distance function that is defined on some kind of object.
|
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 |
---|
PrimitiveDoubleDistanceFunction
Interface for distance functions that can provide a raw double value.
|
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 |
---|
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.
|
Class and Description |
---|
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.
|
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.
|
NumberVectorDistanceFunction
Base interface for the common case of distance functions defined on numerical vectors.
|
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 |
---|
DistanceFunction
Base interface for any kind of distances.
|