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.affinitypropagation |
Affinity Propagation (AP) clustering.
|
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.hierarchical | |
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans |
K-means clustering and variations.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality |
Quality measures for k-Means results.
|
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.lof |
LOF family of 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.data.model |
Cluster models classes for various algorithms.
|
de.lmu.ifi.dbs.elki.database |
ELKI database layer - loading, storing, indexing and accessing data
|
de.lmu.ifi.dbs.elki.database.datastore |
General data store layer API (along the lines of
Map<DBID, T> - use everywhere!) |
de.lmu.ifi.dbs.elki.database.datastore.memory |
Memory data store implementation for ELKI.
|
de.lmu.ifi.dbs.elki.database.ids |
Database object identification and ID group handling API.
|
de.lmu.ifi.dbs.elki.database.ids.distance |
Distance-DBID pairs, lists and heaps.
|
de.lmu.ifi.dbs.elki.database.ids.generic |
Database object identification and ID group handling - generic implementations.
|
de.lmu.ifi.dbs.elki.database.ids.integer |
Integer-based DBID implementation --
do not use directly - always use
DBIDUtil . |
de.lmu.ifi.dbs.elki.database.query |
Database queries - computing distances, neighbors, similarities - API and general documentation.
|
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.
|
de.lmu.ifi.dbs.elki.database.query.rknn |
Prepared queries for reverse k nearest neighbor (rkNN) queries.
|
de.lmu.ifi.dbs.elki.database.query.similarity |
Prepared queries for similarity functions.
|
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.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.minkowski |
Minkowski space L_p norms such as the popular Euclidean and Manhattan distances.
|
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.distancevalue |
Distance values, i.e. object storing an actual distance value along with
comparison functions and value parsers.
|
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.roc |
Evaluation of rankings using ROC AUC (Receiver Operation Characteristics - Area Under Curve)
|
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.lsh |
Locality Sensitive Hashing
|
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.preference |
Indexes storing preference vectors.
|
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.projected |
Projected indexes for data.
|
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.metrical.mtreevariants.strategies.insert |
Insertion (choose path) strategies of nodes in an M-Tree (and variants).
|
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split |
Splitting strategies of nodes in an M-Tree (and variants).
|
de.lmu.ifi.dbs.elki.index.tree.query |
Classes related to generic tree queries.
|
de.lmu.ifi.dbs.elki.index.tree.spatial.kd |
K-d-tree and variants.
|
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu | |
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.rstar | |
de.lmu.ifi.dbs.elki.index.vafile |
Vector Approximation File
|
de.lmu.ifi.dbs.elki.math.linearalgebra.pca |
Principal Component Analysis (PCA) and Eigenvector processing.
|
de.lmu.ifi.dbs.elki.result |
Result types, representation and handling
|
de.lmu.ifi.dbs.elki.result.optics |
Result classes for OPTICS.
|
de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters |
Classes for various typed parameters.
|
de.lmu.ifi.dbs.elki.visualization.opticsplot |
Code for drawing OPTICS plots
|
de.lmu.ifi.dbs.elki.visualization.projections |
Visualization projections
|
de.lmu.ifi.dbs.elki.visualization.projector |
Projectors are responsible for finding appropriate projections for data relations.
|
de.lmu.ifi.dbs.elki.visualization.svg |
Base SVG functionality (generation, markers, thumbnails, export, ...).
|
de.lmu.ifi.dbs.elki.visualization.visualizers.optics |
Visualizers that do work on OPTICS plots
|
de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index |
Visualizers for index structures based on 2D projections.
|
de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection |
Visualizers for object selection based on 2D projections.
|
tutorial.clustering |
Classes from the tutorial on implementing a custom k-means variation.
|
tutorial.outlier |
Class and Description |
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Distance
The interface Distance defines the requirements of any instance class.
|
NumberDistance
Provides a Distance for a number-valued distance.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
NumberDistance
Provides a Distance for a number-valued distance.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
DoubleDistance
Provides a Distance for a double-valued distance.
|
IntegerDistance
Provides an integer distance value.
|
NumberDistance
Provides a Distance for a number-valued distance.
|
Class and Description |
---|
NumberDistance
Provides a Distance for a number-valued distance.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
DoubleDistance
Provides a Distance for a double-valued distance.
|
IntegerDistance
Provides an integer distance value.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
DoubleDistance
Provides a Distance for a double-valued distance.
|
NumberDistance
Provides a Distance for a number-valued distance.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
NumberDistance
Provides a Distance for a number-valued distance.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
NumberDistance
Provides a Distance for a number-valued distance.
|
Class and Description |
---|
DoubleDistance
Provides a Distance for a double-valued distance.
|
PreferenceVectorBasedCorrelationDistance
A PreferenceVectorBasedCorrelationDistance holds additionally to the
CorrelationDistance the common preference vector of the two objects defining
the distance.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
DoubleDistance
Provides a Distance for a double-valued distance.
|
NumberDistance
Provides a Distance for a number-valued distance.
|
Class and Description |
---|
NumberDistance
Provides a Distance for a number-valued distance.
|
Class and Description |
---|
NumberDistance
Provides a Distance for a number-valued distance.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
Class and Description |
---|
DoubleDistance
Provides a Distance for a double-valued distance.
|
NumberDistance
Provides a Distance for a number-valued distance.
|
Class and Description |
---|
NumberDistance
Provides a Distance for a number-valued distance.
|
Class and Description |
---|
DoubleDistance
Provides a Distance for a double-valued distance.
|
NumberDistance
Provides a Distance for a number-valued distance.
|
Class and Description |
---|
NumberDistance
Provides a Distance for a number-valued distance.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
Class and Description |
---|
DoubleDistance
Provides a Distance for a double-valued distance.
|
Class and Description |
---|
DoubleDistance
Provides a Distance for a double-valued distance.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
DoubleDistance
Provides a Distance for a double-valued distance.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
DoubleDistance
Provides a Distance for a double-valued distance.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
DoubleDistance
Provides a Distance for a double-valued distance.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
DoubleDistance
Provides a Distance for a double-valued distance.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
DoubleDistance
Provides a Distance for a double-valued distance.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
DoubleDistance
Provides a Distance for a double-valued distance.
|
Class and Description |
---|
DoubleDistance
Provides a Distance for a double-valued distance.
|
NumberDistance
Provides a Distance for a number-valued distance.
|
Class and Description |
---|
BitDistance
Provides a Distance for a bit-valued distance.
|
PCACorrelationDistance
The correlation distance is a special Distance that indicates the
dissimilarity between correlation connected objects.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
DoubleDistance
Provides a Distance for a double-valued distance.
|
FloatDistance
Provides a Distance for a float-valued distance.
|
NumberDistance
Provides a Distance for a number-valued distance.
|
Class and Description |
---|
DoubleDistance
Provides a Distance for a double-valued distance.
|
Class and Description |
---|
DoubleDistance
Provides a Distance for a double-valued distance.
|
IntegerDistance
Provides an integer distance value.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
DoubleDistance
Provides a Distance for a double-valued distance.
|
PreferenceVectorBasedCorrelationDistance
A PreferenceVectorBasedCorrelationDistance holds additionally to the
CorrelationDistance the common preference vector of the two objects defining
the distance.
|
SubspaceDistance
The subspace distance is a special distance that indicates the dissimilarity
between subspaces of equal dimensionality.
|
Class and Description |
---|
AbstractDistance
An abstract distance implements equals conveniently for any extending class.
|
BitDistance
Provides a Distance for a bit-valued distance.
|
CorrelationDistance
The correlation distance is a special Distance that indicates the
dissimilarity between correlation connected objects.
|
Distance
The interface Distance defines the requirements of any instance class.
|
DoubleDistance
Provides a Distance for a double-valued distance.
|
FloatDistance
Provides a Distance for a float-valued distance.
|
IntegerDistance
Provides an integer distance value.
|
NumberDistance
Provides a Distance for a number-valued distance.
|
PCACorrelationDistance
The correlation distance is a special Distance that indicates the
dissimilarity between correlation connected objects.
|
PreferenceVectorBasedCorrelationDistance
A PreferenceVectorBasedCorrelationDistance holds additionally to the
CorrelationDistance the common preference vector of the two objects defining
the distance.
|
SubspaceDistance
The subspace distance is a special distance that indicates the dissimilarity
between subspaces of equal dimensionality.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
DoubleDistance
Provides a Distance for a double-valued distance.
|
IntegerDistance
Provides an integer distance value.
|
NumberDistance
Provides a Distance for a number-valued distance.
|
Class and Description |
---|
DoubleDistance
Provides a Distance for a double-valued distance.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
Class and Description |
---|
NumberDistance
Provides a Distance for a number-valued distance.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
DoubleDistance
Provides a Distance for a double-valued distance.
|
Class and Description |
---|
DoubleDistance
Provides a Distance for a double-valued distance.
|
Class and Description |
---|
DoubleDistance
Provides a Distance for a double-valued distance.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
Class and Description |
---|
NumberDistance
Provides a Distance for a number-valued distance.
|
Class and Description |
---|
NumberDistance
Provides a Distance for a number-valued distance.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
NumberDistance
Provides a Distance for a number-valued distance.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
NumberDistance
Provides a Distance for a number-valued distance.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
NumberDistance
Provides a Distance for a number-valued distance.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
NumberDistance
Provides a Distance for a number-valued distance.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
NumberDistance
Provides a Distance for a number-valued distance.
|
Class and Description |
---|
DoubleDistance
Provides a Distance for a double-valued distance.
|
NumberDistance
Provides a Distance for a number-valued distance.
|
Class and Description |
---|
NumberDistance
Provides a Distance for a number-valued distance.
|
Class and Description |
---|
NumberDistance
Provides a Distance for a number-valued distance.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
DoubleDistance
Provides a Distance for a double-valued distance.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
DoubleDistance
Provides a Distance for a double-valued distance.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
DoubleDistance
Provides a Distance for a double-valued distance.
|
Class and Description |
---|
DoubleDistance
Provides a Distance for a double-valued distance.
|
NumberDistance
Provides a Distance for a number-valued distance.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
DoubleDistance
Provides a Distance for a double-valued distance.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
Class and Description |
---|
CorrelationDistance
The correlation distance is a special Distance that indicates the
dissimilarity between correlation connected objects.
|
Distance
The interface Distance defines the requirements of any instance class.
|
NumberDistance
Provides a Distance for a number-valued distance.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
Class and Description |
---|
NumberDistance
Provides a Distance for a number-valued distance.
|
Class and Description |
---|
Distance
The interface Distance defines the requirements of any instance class.
|
Class and Description |
---|
NumberDistance
Provides a Distance for a number-valued distance.
|
Class and Description |
---|
NumberDistance
Provides a Distance for a number-valued distance.
|
Class and Description |
---|
DoubleDistance
Provides a Distance for a double-valued distance.
|
NumberDistance
Provides a Distance for a number-valued distance.
|
Class and Description |
---|
NumberDistance
Provides a Distance for a number-valued distance.
|