An environment for developing KDD-applications supported by index structures. #Data mining framework #Data mining algorithm #Data management #Data mining #Framework #Algorithm
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.
What's new in ELKI 0.3:
- New release with a focus on outlier detection methods and visualization, along with some general refactoring that improves memory efficiency and performance and a minimalistic GUI for interactive parameterization of ELKI algorithms.
ELKI 0.3
add to watchlist add to download basket send us an update REPORT- runs on:
- Windows All
- file size:
- 7.4 MB
- filename:
- elki.jar
1 screenshot:
- main category:
- Science / CAD
- developer:
- visit homepage
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