ELKI

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An environment for developing KDD-applications supported by index structures

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In ELKI, data mining algorithms and data management tasks are separated and allow for an independent evaluation. This separation makes ELKI unique among data mining frameworks like Weka or YALE and frameworks for index structures like GiST.

At the same time, ELKI is open to arbitrary data types, distance or similarity measures, or file formats.

The fundamental approach is the independence of file parsers or database connections, data types, distances, distance functions, and data mining algorithms. Helper classes, e.g. for algebraic or analytic computations are available for all algorithms on equal terms. 
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Last updated on July 17th, 2011
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ELKI

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