| 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.