Package | Description |
---|---|
de.lmu.ifi.dbs.elki.algorithm |
Algorithms suitable as a task for the
KDDTask main routine. |
de.lmu.ifi.dbs.elki.algorithm.clustering |
Clustering algorithms.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan |
Generalized DBSCAN.
|
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.subspace |
Subspace outlier detection methods.
|
de.lmu.ifi.dbs.elki.data.type |
Data type information, also used for type restrictions.
|
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.distance.distancefunction |
Distance functions for use within ELKI.
|
de.lmu.ifi.dbs.elki.distance.distanceresultlist |
Classes for building and storing the results of distance-based queries
The classes in this package essentially form three groups:
KNNHeap for building kNN results. |
de.lmu.ifi.dbs.elki.evaluation.roc |
Evaluation of rankings using ROC AUC (Receiver Operation Characteristics - Area Under Curve)
|
de.lmu.ifi.dbs.elki.index |
Index structure implementations
|
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.subspaceproj |
Index using a preprocessed local subspaces.
|
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.query |
Classes for performing queries (knn, range, ...) on metrical trees.
|
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query |
Queries on the R-Tree family of indexes: kNN and range queries.
|
de.lmu.ifi.dbs.elki.index.vafile |
Vector Approximation File
|
de.lmu.ifi.dbs.elki.math.linearalgebra.pca |
Principal Component Analysis (PCA) and Eigenvector processing.
|
Class and Description |
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DoubleDistanceKNNHeap
Heap for collecting double-valued KNN instances.
|
KNNHeap
Interface for kNN heaps.
|
KNNResult
Interface for kNN results.
|
Class and Description |
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KNNResult
Interface for kNN results.
|
Class and Description |
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DistanceDBIDResult
Collection of objects and their distances.
|
Class and Description |
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DistanceDBIDResult
Collection of objects and their distances.
|
Class and Description |
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DistanceDBIDResult
Collection of objects and their distances.
|
Class and Description |
---|
DistanceDBIDResult
Collection of objects and their distances.
|
DoubleDistanceDBIDList
Default class to keep a list of distance-object pairs.
|
Class and Description |
---|
DistanceDBIDResult
Collection of objects and their distances.
|
Class and Description |
---|
KNNHeap
Interface for kNN heaps.
|
KNNResult
Interface for kNN results.
|
Class and Description |
---|
DistanceDBIDResult
Collection of objects and their distances.
|
Class and Description |
---|
DistanceDBIDResult
Collection of objects and their distances.
|
GenericDistanceDBIDList
Default class to keep a list of distance-object pairs.
|
Class and Description |
---|
KNNResult
Interface for kNN results.
|
Class and Description |
---|
AbstractKNNHeap
Heap used for KNN management.
|
DistanceDBIDResult
Collection of objects and their distances.
|
DistanceDBIDResultIter
Iterator over distance-based query results.
|
DoubleDistanceDBIDResultIter
Iterator for double valued distance-based query results.
|
DoubleDistanceKNNHeap
Heap for collecting double-valued KNN instances.
|
DoubleDistanceKNNList
Finalized KNN List.
|
GenericKNNList
Finalized KNN List.
|
KNNHeap
Interface for kNN heaps.
|
KNNResult
Interface for kNN results.
|
ModifiableDistanceDBIDResult
Modifiable API for Distance-DBID results
|
Class and Description |
---|
DistanceDBIDResult
Collection of objects and their distances.
|
DistanceDBIDResultIter
Iterator over distance-based query results.
|
Class and Description |
---|
DistanceDBIDResult
Collection of objects and their distances.
|
KNNResult
Interface for kNN results.
|
Class and Description |
---|
DistanceDBIDResultIter
Iterator over distance-based query results.
|
GenericDistanceDBIDList
Default class to keep a list of distance-object pairs.
|
KNNResult
Interface for kNN results.
|
Class and Description |
---|
DistanceDBIDResult
Collection of objects and their distances.
|
KNNResult
Interface for kNN results.
|
Class and Description |
---|
DistanceDBIDResult
Collection of objects and their distances.
|
Class and Description |
---|
DistanceDBIDResult
Collection of objects and their distances.
|
KNNResult
Interface for kNN results.
|
Class and Description |
---|
DistanceDBIDResult
Collection of objects and their distances.
|
KNNResult
Interface for kNN results.
|
Class and Description |
---|
DistanceDBIDResult
Collection of objects and their distances.
|
GenericDistanceDBIDList
Default class to keep a list of distance-object pairs.
|
KNNResult
Interface for kNN results.
|
Class and Description |
---|
DistanceDBIDResult
Collection of objects and their distances.
|
KNNHeap
Interface for kNN heaps.
|
KNNResult
Interface for kNN results.
|
ModifiableDistanceDBIDResult
Modifiable API for Distance-DBID results
|
Class and Description |
---|
DistanceDBIDResult
Collection of objects and their distances.
|
GenericDistanceDBIDList
Default class to keep a list of distance-object pairs.
|
KNNResult
Interface for kNN results.
|
Class and Description |
---|
DistanceDBIDResult
Collection of objects and their distances.
|
DoubleDistanceDBIDList
Default class to keep a list of distance-object pairs.
|
GenericDistanceDBIDList
Default class to keep a list of distance-object pairs.
|
KNNResult
Interface for kNN results.
|
Class and Description |
---|
DistanceDBIDResult
Collection of objects and their distances.
|
DoubleDistanceDBIDList
Default class to keep a list of distance-object pairs.
|
DoubleDistanceKNNHeap
Heap for collecting double-valued KNN instances.
|
DoubleDistanceKNNList
Finalized KNN List.
|
KNNHeap
Interface for kNN heaps.
|
KNNResult
Interface for kNN results.
|
Class and Description |
---|
DoubleDistanceDBIDList
Default class to keep a list of distance-object pairs.
|
DoubleDistanceKNNList
Finalized KNN List.
|
Class and Description |
---|
DistanceDBIDResult
Collection of objects and their distances.
|