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.classification |
Classification algorithms.
|
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.affinitypropagation |
Affinity Propagation (AP) clustering.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.em |
Expectation-Maximization clustering algorithm.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan |
Generalized DBSCAN
Generalized DBSCAN is an abstraction of the original DBSCAN idea,
that allows the use of arbitrary "neighborhood" and "core point" predicates.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical |
Hierarchical agglomerative clustering (HAC).
|
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans |
K-means clustering and variations
|
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization |
Initialization strategies for k-means.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel |
Parallelized implementations of k-means.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality |
Quality measures for k-Means results.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.optics |
OPTICS family of clustering algorithms.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain |
Clustering algorithms for uncertain data.
|
de.lmu.ifi.dbs.elki.algorithm.outlier |
Outlier detection algorithms
|
de.lmu.ifi.dbs.elki.algorithm.outlier.clustering |
Clustering based outlier detection.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.distance |
Distance-based outlier detection algorithms, such as DBOutlier and kNN.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel |
Parallel implementations of distance-based outlier detectors.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic |
Outlier detection algorithms based on intrinsic dimensionality.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.lof |
LOF family of outlier detection algorithms
|
de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel |
Parallelized variants of LOF.
|
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
Methods that detect outliers in subspaces (projections) of the data set.
|
de.lmu.ifi.dbs.elki.algorithm.projection |
Data projections (see also preprocessing filters for basic projections).
|
de.lmu.ifi.dbs.elki.algorithm.statistics |
Statistical analysis algorithms.
|
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.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.database.query.range |
Prepared queries for ε-range queries, that return all objects within
the radius ε
|
de.lmu.ifi.dbs.elki.database.relation |
Relations, materialized and virtual (views)
|
de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise |
Instancewise normalization, where each instance is normalized independently.
|
de.lmu.ifi.dbs.elki.datasource.filter.transform |
Data space transformations
|
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.histogram |
Distance functions for one-dimensional histograms.
|
de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski |
Minkowski space Lp norms such as the popular Euclidean and
Manhattan distances.
|
de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic |
Distance from probability theory, mostly divergences such as K-L-divergence,
J-divergence, F-divergence, χ²-divergence, etc.
|
de.lmu.ifi.dbs.elki.distance.distancefunction.set |
Distance functions for binary and set type data.
|
de.lmu.ifi.dbs.elki.distance.distancefunction.strings |
Distance functions for strings
|
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
Note that some regular distance functions (e.g., Euclidean) are also used on
time series.
|
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.
|
de.lmu.ifi.dbs.elki.evaluation.clustering.internal |
Internal evaluation measures for clusterings.
|
de.lmu.ifi.dbs.elki.evaluation.similaritymatrix |
Render a distance matrix to visualize a clustering-distance-combination.
|
de.lmu.ifi.dbs.elki.index |
Index structure implementations
|
de.lmu.ifi.dbs.elki.index.distancematrix |
Precomputed distance matrix.
|
de.lmu.ifi.dbs.elki.index.idistance |
iDistance is a distance based indexing technique, using a reference points embedding.
|
de.lmu.ifi.dbs.elki.index.lsh.hashfamilies |
Hash function families for LSH
|
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.tree.metrical |
Tree-based index structures for metrical vector spaces
|
de.lmu.ifi.dbs.elki.index.tree.metrical.covertree |
Cover-tree variations.
|
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants |
M-Tree and variants
|
de.lmu.ifi.dbs.elki.index.tree.spatial.kd |
K-d-tree and variants
|
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.rdknn | |
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
|
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 |
Tutorials on implementing outlier detection methods in ELKI.
|
Class and Description |
---|
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.
|
SpatialPrimitiveDistanceFunction
API for a spatial primitive distance function.
|
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 |
---|
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.
|
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.
|
NumberVectorDistanceFunction
Base interface for the common case of distance functions defined on numerical
vectors.
|
Class and Description |
---|
NumberVectorDistanceFunction
Base interface for the common case of distance functions defined on numerical
vectors.
|
Class and Description |
---|
NumberVectorDistanceFunction
Base interface for the common case of distance functions defined on numerical
vectors.
|
Class and Description |
---|
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.
|
SpatialPrimitiveDistanceFunction
API for a spatial primitive distance function.
|
Class and Description |
---|
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.
|
Class and Description |
---|
DistanceFunction
Base interface for any kind of distances.
|
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.
|
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.
|
Class and Description |
---|
DistanceFunction
Base interface for any kind of distances.
|
Class and Description |
---|
DistanceFunction
Base interface for any kind of distances.
|
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.
|
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 |
---|
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.
|
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.
|
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 |
---|
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.
|
DBIDRangeDistanceFunction
Distance functions valid in a static database context only
(i.e. for DBIDRanges)
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 |
---|
PrimitiveDistanceFunction
Primitive distance function that is defined on some kind of object.
|
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 |
---|
Norm
Abstract interface for a mathematical norm.
|
Class and Description |
---|
PrimitiveDistanceFunction
Primitive distance function that is defined on some kind of object.
|
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.
|
AbstractNumberVectorDistanceFunction
Abstract base class for the most common family of distance functions: defined
on number vectors and returning double values.
|
ArcCosineDistanceFunction
Arcus cosine distance function for feature vectors.
|
ArcCosineUnitlengthDistanceFunction
Arcus cosine distance function for feature vectors.
|
BrayCurtisDistanceFunction
Bray-Curtis distance function / Sørensen–Dice coefficient for continuous
vector spaces (not only binary data).
|
CanberraDistanceFunction
Canberra distance function, a variation of Manhattan distance.
|
ClarkDistanceFunction
Clark distance function for vector spaces.
|
CosineDistanceFunction
Cosine distance function for feature vectors.
|
CosineUnitlengthDistanceFunction
Cosine distance function for unit length 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.
|
DBIDRangeDistanceFunction
Distance functions valid in a static database context only
(i.e. for DBIDRanges)
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.
|
IndexBasedDistanceFunction
Distance function relying on an index (such as preprocessed neighborhoods).
|
IndexBasedDistanceFunction.Instance
Instance interface for Index based distance functions.
|
MatrixWeightedQuadraticDistanceFunction
Matrix weighted quadratic distance, the squared form of
MahalanobisDistanceFunction . |
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.
|
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.
|
WeightedCanberraDistanceFunction
Weighted Canberra distance function, a variation of Manhattan distance.
|
WeightedNumberVectorDistanceFunction
Distance functions where each dimension is assigned a weight.
|
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 |
---|
AbstractNumberVectorDistanceFunction
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.
|
MatrixWeightedQuadraticDistanceFunction
Matrix weighted quadratic distance, the squared form of
MahalanobisDistanceFunction . |
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.
|
SpatialPrimitiveDistanceFunction
API for a spatial primitive distance function.
|
Class and Description |
---|
AbstractNumberVectorDistanceFunction
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.
|
WeightedNumberVectorDistanceFunction
Distance functions where each dimension is assigned a weight.
|
Class and Description |
---|
AbstractDatabaseDistanceFunction
Abstract super class for distance functions needing a database context.
|
AbstractDBIDRangeDistanceFunction
Abstract base class for distance functions that rely on integer offsets
within a consecutive range.
|
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.
|
DBIDRangeDistanceFunction
Distance functions valid in a static database context only
(i.e. for DBIDRanges)
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 |
---|
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.
|
SpatialPrimitiveDistanceFunction
API for a spatial primitive distance function.
|
Class and Description |
---|
AbstractNumberVectorDistanceFunction
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.
|
SpatialPrimitiveDistanceFunction
API for a spatial primitive distance function.
|
Class and Description |
---|
AbstractNumberVectorDistanceFunction
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.
|
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.
|
SpatialPrimitiveDistanceFunction
API for a spatial primitive distance function.
|
WeightedNumberVectorDistanceFunction
Distance functions where each dimension is assigned a weight.
|
Class and Description |
---|
AbstractNumberVectorDistanceFunction
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.
|
SpatialPrimitiveDistanceFunction
API for a spatial primitive distance function.
|
Class and Description |
---|
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.
|
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 |
---|
AbstractNumberVectorDistanceFunction
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.
|
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.
|
SpatialPrimitiveDistanceFunction
API for a spatial primitive distance function.
|
Class and Description |
---|
AbstractNumberVectorDistanceFunction
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.
|
Class and Description |
---|
AbstractNumberVectorDistanceFunction
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.
|
SpatialPrimitiveDistanceFunction
API for a spatial primitive distance function.
|
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.
|
PrimitiveDistanceFunction
Primitive distance function that is defined on some kind of object.
|
Class and Description |
---|
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.
|
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 |
---|
Norm
Abstract interface for a mathematical norm.
|
Class and Description |
---|
SpatialPrimitiveDistanceFunction
API for a spatial primitive distance function.
|
Class and Description |
---|
SpatialPrimitiveDistanceFunction
API for a spatial primitive distance function.
|
Class and Description |
---|
SpatialPrimitiveDistanceFunction
API for a spatial primitive distance function.
|
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.
|
NumberVectorDistanceFunction
Base interface for the common case of distance functions defined on numerical
vectors.
|
Class and Description |
---|
AbstractNumberVectorDistanceFunction
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.
|
Class and Description |
---|
DistanceFunction
Base interface for any kind of distances.
|
Copyright © 2019 ELKI Development Team. License information.