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.
|
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.
|
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.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.
|
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.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 L_p 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.
|
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.
|
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.
|
de.lmu.ifi.dbs.elki.utilities |
Utility and helper classes - commonly used data structures, output formatting, exceptions, ...
|
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.
|
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.
|
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.
|
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.
|
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.
|
AbstractNumberVectorNorm
Abstract base class for double-valued number-vector-based distances based on
norms.
|
AbstractPrimitiveDistanceFunction
AbstractDistanceFunction provides some methods valid for any extending class.
|
AbstractSpatialDistanceFunction
Abstract base class for typical distance functions that allow
rectangle-to-rectangle lower bounds.
|
AbstractSpatialNorm
Abstract base class for typical distance functions that allow
rectangle-to-rectangle lower bounds.
|
ArcCosineDistanceFunction
Cosine distance function for feature vectors.
|
BrayCurtisDistanceFunction
Bray-Curtis distance function / Sørensen–Dice coefficient for continuous
spaces.
|
CanberraDistanceFunction
Canberra distance function, a variation of Manhattan distance.
|
ClarkDistanceFunction
Clark distance function for vector spaces.
|
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.
|
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.
|
Kulczynski1DistanceFunction
Kulczynski similarity 1, in distance form.
|
LorentzianDistanceFunction
Lorentzian distance function for vector spaces.
|
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.
|
AbstractPrimitiveDistanceFunction
AbstractDistanceFunction provides some methods valid for any extending class.
|
AbstractSpatialDistanceFunction
Abstract base class for typical distance functions that allow
rectangle-to-rectangle lower bounds.
|
DistanceFunction
Base interface for any kind of distances.
|
MatrixWeightedDistanceFunction
Weighted distance for feature vectors.
|
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.
|
AbstractPrimitiveDistanceFunction
AbstractDistanceFunction provides some methods valid for any extending class.
|
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 |
---|
AbstractNumberVectorDistanceFunction
Abstract base class for the most common family of distance functions: defined
on number vectors and returning double values.
|
AbstractPrimitiveDistanceFunction
AbstractDistanceFunction provides some methods valid for any extending class.
|
AbstractSpatialDistanceFunction
Abstract base class for typical distance functions that allow
rectangle-to-rectangle lower bounds.
|
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.
|
AbstractPrimitiveDistanceFunction
AbstractDistanceFunction provides some methods valid for any extending class.
|
AbstractSpatialDistanceFunction
Abstract base class for typical distance functions that allow
rectangle-to-rectangle lower bounds.
|
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.
|
AbstractNumberVectorNorm
Abstract base class for double-valued number-vector-based distances based on
norms.
|
AbstractPrimitiveDistanceFunction
AbstractDistanceFunction provides some methods valid for any extending class.
|
AbstractSpatialNorm
Abstract base class for typical distance functions that allow
rectangle-to-rectangle lower bounds.
|
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.
|
AbstractPrimitiveDistanceFunction
AbstractDistanceFunction provides some methods valid for any extending class.
|
AbstractSpatialDistanceFunction
Abstract base class for typical distance functions that allow
rectangle-to-rectangle lower bounds.
|
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 |
---|
AbstractPrimitiveDistanceFunction
AbstractDistanceFunction provides some methods valid for any extending class.
|
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 |
---|
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 |
---|
AbstractNumberVectorDistanceFunction
Abstract base class for the most common family of distance functions: defined
on number vectors and returning double values.
|
AbstractNumberVectorNorm
Abstract base class for double-valued number-vector-based distances based on
norms.
|
AbstractPrimitiveDistanceFunction
AbstractDistanceFunction provides some methods valid for any extending class.
|
AbstractSpatialNorm
Abstract base class for typical distance functions that allow
rectangle-to-rectangle lower bounds.
|
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.
|
AbstractPrimitiveDistanceFunction
AbstractDistanceFunction provides some methods valid for any extending class.
|
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 |
---|
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.
|
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.
|
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.
|
AbstractPrimitiveDistanceFunction
AbstractDistanceFunction provides some methods valid for any extending class.
|
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 © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.