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 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.

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 many data index structures such as the R*-tree that can provide major performance ...

2024年2月4日 · ELKI（Environment for Developing KDD-Applications Supported by Index-Structures）是一个专门为聚类和离群点检测而设计的数据挖掘平台。 与Weka类似，ELKI也是一个用Java编写的开源平台，提供了丰富的数据挖掘算法和工具。

The tutorial below explains a basic use of ELKI, how to use the MiniGUI and the visualizations. There are additional tutorials available for developing with ELKI. Tutorials for ELKI development: Implementing an index accelerated distance function for R-tree and similar indexes.

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.

Invoke ELKI from within Java; Use index structures for accelerating data mining algorithms; Process geo data in ELKI; Perform geo-spatial outlier detection with an external neighborhood specification; Precompute distance matrixes and use external distances; Using sparse vector data; more to come; See also the Tutorial section:

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。 …

ELKI is a free tool for analyzing data, mainly focusing on finding patterns and unusual data points without needing labels. It's written in Java and aims to be fast and able to handle big datasets by using special structures. It's made for researchers and students to add their own methods and compare different algorithms easily. [2]

2019年2月10日 · 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.