论文标题
hipart：分层分区聚类工具箱
HiPart: Hierarchical Divisive Clustering Toolbox
论文作者
论文摘要
本文介绍了Hipart软件包，这是一个开源的本机Python库，可提供有效且可解释的分裂分层聚类算法的实现。 Hipart支持交互式可视化，以操纵执行步骤，从而直接干预聚类结果。该软件包非常适合大数据应用程序，因为已将重点放在实施聚类方法的计算效率上。所使用的依赖项是Python建筑包或高度维护的稳定外部软件包。该软件是根据MIT许可证提供的。包装的源代码和文档可以在https://github.com/panagiotisanagnostou/hipart上找到。
This paper presents the HiPart package, an open-source native python library that provides efficient and interpret-able implementations of divisive hierarchical clustering algorithms. HiPart supports interactive visualizations for the manipulation of the execution steps allowing the direct intervention of the clustering outcome. This package is highly suited for Big Data applications as the focus has been given to the computational efficiency of the implemented clustering methodologies. The dependencies used are either Python build-in packages or highly maintained stable external packages. The software is provided under the MIT license. The package's source code and documentation can be found at https://github.com/panagiotisanagnostou/HiPart.
