Package	Description
elki	ELKI framework "Environment for Developing KDD-Applications Supported by Index-Structures".
elki.algorithm	Miscellaneous algorithms.
elki.algorithm.statistics	Statistical analysis algorithms.
elki.application	Base classes for standalone applications.
elki.application.benchmark	Benchmarking pseudo algorithms.
elki.application.experiments	Packaged experiments to make them easy to reproduce.
elki.application.greedyensemble	Greedy ensembles for outlier detection.
elki.application.statistics	Applications to compute some basic data set statistics.
elki.clustering.correlation
elki.clustering.correlation.cash	Helper classes for the CASH algorithm.
elki.clustering.optics
elki.clustering.subspace
elki.data.model
elki.evaluation	Functionality for the evaluation of algorithms.
elki.evaluation.index	Simple index evaluation methods.
elki.evaluation.outlier
elki.evaluation.similaritymatrix	Render a distance matrix to visualize a clustering-distance-combination.
elki.index.idistance	iDistance is a distance based indexing technique, using a reference points embedding.
elki.index.preprocessed.knn
elki.outlier
elki.outlier.clustering	Clustering based outlier detection.
elki.outlier.subspace
elki.persistent
elki.projection	Data projections (see also preprocessing filters for basic projections).
elki.result
elki.result.textwriter
elki.result.textwriter.naming	Naming schemes for clusters (for output when an algorithm does not generate cluster names).
elki.result.textwriter.writers	Serialization handlers for individual data types.
elki.workflow	Work flow packages, e.g., following the usual KDD model.