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12 lines
675 B
Plaintext
12 lines
675 B
Plaintext
ELKI is an open source (AGPLv3) data mining software written in Java. The focus
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of ELKI is research in algorithms, with an emphasis on unsupervised methods in
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cluster analysis and outlier detection. In order to achieve high performance and
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scalability, ELKI offers data index structures such as the R*-tree that can
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provide major performance gains. ELKI is designed to be easy to extend for
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researchers and students in this domain, and welcomes contributions of
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additional methods. ELKI aims at providing a large collection of highly
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parameterizable algorithms, in order to allow easy and fair evaluation and
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benchmarking of algorithms.
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WWW: https://elki-project.github.io/
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