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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.

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ELKI (Environment for Developing KDD-Applications Supported by Index-Structures)是一个功能强大的开源数据挖掘工具包。 它由德国慕尼黑大学的研究团队开发,采用Java语言编写,并以AGPLv3许可证发布。 ELKI的主要特点包括: 专注于无监督学习算法,尤其是聚类分析和异常检测领域。 提供高性能的索引结构,如R*树等,以提高算法的效率和可扩展性。 模块化设计,便于研究人员和学生进行扩展和贡献新算法。 包含大量可参数化的算法实现,便于公平比较和基准测试。 …

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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.

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