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.
翻译:本文件介绍HiPart软件包,这是一个开放源码本地皮松图书馆,提供高效和可解释的分解等级组合算法的实施。HiPart支持互动可视化操作操作执行步骤,以便直接干预组合结果。该软件包非常适合大数据应用程序,因为重点已经放在已执行的组合方法的计算效率上。所使用的依赖性要么是Python构建软件包,要么是高度稳定的外部软件包。软件由MIT许可证提供。该软件的源代码和文件可在https://github.com/panagiotisanagnostou/HiPart找到。