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This paper documents the release of the ELKI data mining framework, version0.7.5.  ELKI is an open source (AGPLv3) data mining software written in Java. Thefocus of ELKI is research in algorithms, with an emphasis on unsupervisedmethods in cluster analysis and outlier detection. In order to achieve highperformance and scalability, ELKI offers data index structures such as theR*-tree that can provide major performance gains. ELKI is designed to be easyto extend for researchers and students in this domain, and welcomescontributions of additional methods. ELKI aims at providing a large collectionof highly parameterizable algorithms, in order to allow easy and fairevaluation and benchmarking of algorithms.  We will first outline the motivation for this release, the plans for thefuture, and then give a brief overview over the new functionality in thisversion. We also include an appendix presenting an overview on the overallimplemented functionality.

ELKI: A large open-source library for data analysis - ELKI Release 0.7.5 "Heidelberg"