ELKI Data Mining Framework
ELKI is an open-source data mining framework written in Java, focusing on unsupervised methods for cluster analysis and outlier detection. It provides high performance through data index structures and aims to facilitate the evaluation and benchmarking of various algorithms. The framework is designed for easy extension and encourages contributions from researchers and students in the field.
- ▪ELKI is licensed under AGPLv3 and is available for free scientific use.
- ▪The framework separates data mining algorithms from data management tasks for independent evaluation.
- ▪ELKI supports arbitrary data types, distance measures, and file formats, making it versatile for various applications.
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ELKI: Environment for Developing KDD-Applications Supported by Index-Structures Quick Summary ELKI is an open source (AGPLv3) data mining software written in Java. The focus of ELKI is research in algorithms, with an emphasis on unsupervised methods in cluster analysis and outlier detection. In order to achieve high performance and scalability, ELKI offers data index structures such as the R*-tree that can provide major performance gains. ELKI is designed to be easy to extend for researchers and students in this domain, and welcomes contributions of additional methods. ELKI aims at providing a large collection of highly parameterizable algorithms, in order to allow easy and fair evaluation and benchmarking of algorithms.
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