Package | Description |
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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.
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de.lmu.ifi.dbs.elki.algorithm.classification |
Classification algorithms.
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de.lmu.ifi.dbs.elki.algorithm.clustering |
Clustering algorithms.
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de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation |
Affinity Propagation (AP) clustering.
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de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering |
Biclustering algorithms.
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de.lmu.ifi.dbs.elki.algorithm.clustering.correlation |
Correlation clustering algorithms
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de.lmu.ifi.dbs.elki.algorithm.clustering.em |
Expectation-Maximization clustering algorithm.
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de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan |
Generalized DBSCAN.
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de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical |
Hierarchical agglomerative clustering (HAC).
|
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction |
Extraction of partitional clusterings from hierarchical results.
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de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans |
K-means clustering and variations.
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de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization |
Initialization strategies for k-means.
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de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel |
Parallelized implementations of k-means.
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de.lmu.ifi.dbs.elki.algorithm.clustering.meta |
Meta clustering algorithms, that get their result from other clusterings or external sources.
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de.lmu.ifi.dbs.elki.algorithm.clustering.optics |
OPTICS family of clustering algorithms.
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de.lmu.ifi.dbs.elki.algorithm.clustering.subspace |
Axis-parallel subspace clustering algorithms.
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de.lmu.ifi.dbs.elki.algorithm.clustering.trivial |
Trivial clustering algorithms: all in one, no clusters, label clusterings
These methods are mostly useful for providing a reference result in evaluation.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain |
Clustering algorithms for uncertain data.
|
de.lmu.ifi.dbs.elki.algorithm.itemsetmining |
Algorithms for frequent itemset mining such as APRIORI.
|
de.lmu.ifi.dbs.elki.algorithm.outlier |
Outlier detection algorithms
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de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased |
Angle-based 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.meta |
Meta outlier detection algorithms: external scores, score rescaling.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.spatial |
Spatial outlier detection algorithms
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de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood |
Spatial outlier neighborhood classes
|
de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted |
Weighted Neighborhood definitions.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.subspace |
Subspace outlier detection methods.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.trivial |
Trivial outlier detection algorithms: no outliers, all outliers, label outliers.
|
de.lmu.ifi.dbs.elki.algorithm.statistics |
Statistical analysis algorithms.
|
de.lmu.ifi.dbs.elki.application.jsmap |
JavaScript based map client - server architecture.
|
de.lmu.ifi.dbs.elki.database |
ELKI database layer - loading, storing, indexing and accessing data
|
de.lmu.ifi.dbs.elki.evaluation.clustering |
Evaluation of clustering results.
|
de.lmu.ifi.dbs.elki.evaluation.clustering.extractor |
Classes to extract clusterings from hierarchical clustering.
|
de.lmu.ifi.dbs.elki.evaluation.clustering.internal |
Internal evaluation measures for clusterings.
|
de.lmu.ifi.dbs.elki.evaluation.histogram |
Functionality for the evaluation of algorithms using histograms.
|
de.lmu.ifi.dbs.elki.result |
Result types, representation and handling
|
de.lmu.ifi.dbs.elki.result.textwriter |
Text serialization (CSV, Gnuplot, Console, ...)
|
de.lmu.ifi.dbs.elki.utilities |
Utility and helper classes - commonly used data structures, output formatting, exceptions, ...
|
de.lmu.ifi.dbs.elki.visualization |
Visualization package of ELKI.
|
de.lmu.ifi.dbs.elki.visualization.gui |
Package to provide a visualization GUI.
|
de.lmu.ifi.dbs.elki.workflow |
Work flow packages, e.g. following the usual KDD model, closely related to CRISP-DM
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Class and Description |
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Database
Database specifies the requirements for any database implementation.
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Database
Database specifies the requirements for any database implementation.
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Database
Database specifies the requirements for any database implementation.
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Database
Database specifies the requirements for any database implementation.
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Database
Database specifies the requirements for any database implementation.
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Database
Database specifies the requirements for any database implementation.
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Database
Database specifies the requirements for any database implementation.
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Database
Database specifies the requirements for any database implementation.
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Database
Database specifies the requirements for any database implementation.
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Database
Database specifies the requirements for any database implementation.
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Database
Database specifies the requirements for any database implementation.
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Class and Description |
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Database
Database specifies the requirements for any database implementation.
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Class and Description |
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Database
Database specifies the requirements for any database implementation.
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Class and Description |
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Database
Database specifies the requirements for any database implementation.
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Class and Description |
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Database
Database specifies the requirements for any database implementation.
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Class and Description |
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Database
Database specifies the requirements for any database implementation.
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Class and Description |
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Database
Database specifies the requirements for any database implementation.
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Class and Description |
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Database
Database specifies the requirements for any database implementation.
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Class and Description |
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Database
Database specifies the requirements for any database implementation.
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Class and Description |
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Database
Database specifies the requirements for any database implementation.
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Class and Description |
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Database
Database specifies the requirements for any database implementation.
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Class and Description |
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Database
Database specifies the requirements for any database implementation.
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Class and Description |
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Database
Database specifies the requirements for any database implementation.
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Class and Description |
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Database
Database specifies the requirements for any database implementation.
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Class and Description |
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Database
Database specifies the requirements for any database implementation.
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Class and Description |
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Database
Database specifies the requirements for any database implementation.
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Class and Description |
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Database
Database specifies the requirements for any database implementation.
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Class and Description |
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Database
Database specifies the requirements for any database implementation.
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Class and Description |
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Database
Database specifies the requirements for any database implementation.
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Class and Description |
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Database
Database specifies the requirements for any database implementation.
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Class and Description |
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Database
Database specifies the requirements for any database implementation.
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Class and Description |
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Database
Database specifies the requirements for any database implementation.
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Class and Description |
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Database
Database specifies the requirements for any database implementation.
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Class and Description |
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Database
Database specifies the requirements for any database implementation.
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Class and Description |
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Database
Database specifies the requirements for any database implementation.
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Class and Description |
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Database
Database specifies the requirements for any database implementation.
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Class and Description |
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AbstractDatabase
Abstract base class for database API implementations.
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AbstractDatabase.Parameterizer
Parameterization class.
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Database
Database specifies the requirements for any database implementation.
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DatabaseEventManager
Class to manage database events such as insertions and removals.
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DatabaseEventManager.Type
Types for aggregation.
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HashmapDatabase
Database storing data using hashtable storage, and thus allowing additional
and removal of objects.
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StaticArrayDatabase
This database class uses array-based storage and thus does not allow for
dynamic insert, delete and update operations.
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UpdatableDatabase
Database API with updates.
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Class and Description |
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Database
Database specifies the requirements for any database implementation.
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Class and Description |
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Database
Database specifies the requirements for any database implementation.
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Class and Description |
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Database
Database specifies the requirements for any database implementation.
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Class and Description |
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Database
Database specifies the requirements for any database implementation.
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Class and Description |
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Database
Database specifies the requirements for any database implementation.
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Class and Description |
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Database
Database specifies the requirements for any database implementation.
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Class and Description |
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Database
Database specifies the requirements for any database implementation.
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Class and Description |
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Database
Database specifies the requirements for any database implementation.
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Class and Description |
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UpdatableDatabase
Database API with updates.
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Class and Description |
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Database
Database specifies the requirements for any database implementation.
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Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.