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).
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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
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.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.
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de.lmu.ifi.dbs.elki.algorithm.itemsetmining |
Algorithms for frequent itemset mining such as APRIORI.
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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.
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de.lmu.ifi.dbs.elki.algorithm.outlier.clustering |
Clustering based outlier detection.
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de.lmu.ifi.dbs.elki.algorithm.outlier.distance |
Distance-based outlier detection algorithms, such as DBOutlier and kNN.
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de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel |
Parallel implementations of distance-based outlier detectors.
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de.lmu.ifi.dbs.elki.algorithm.outlier.lof |
LOF family of outlier detection algorithms.
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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
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de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted |
Weighted Neighborhood definitions.
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de.lmu.ifi.dbs.elki.algorithm.outlier.subspace |
Subspace outlier detection methods.
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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
The algorithms in this package perform statistical analysis of the data
(e.g. compute distributions, distance distributions etc.)
|
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
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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.
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de.lmu.ifi.dbs.elki.result |
Result types, representation and handling
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de.lmu.ifi.dbs.elki.result.textwriter |
Text serialization (CSV, Gnuplot, Console, ...)
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de.lmu.ifi.dbs.elki.utilities |
Utility and helper classes - commonly used data structures, output formatting, exceptions, ...
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de.lmu.ifi.dbs.elki.visualization |
Visualization package of ELKI.
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de.lmu.ifi.dbs.elki.visualization.gui |
Package to provide a visualization GUI.
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de.lmu.ifi.dbs.elki.workflow |
Work flow packages, e.g. following the usual KDD model, closely related to CRISP-DM
|
tutorial.clustering |
Classes from the tutorial on implementing a custom k-means variation.
|
tutorial.outlier |
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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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 specifies the requirements for any database implementation.
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Database specifies the requirements for any database implementation.
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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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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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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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Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.