{"repo":"panagiotisanagnostou/HiPart","free":true,"listed":false,"github":"https://github.com/panagiotisanagnostou/HiPart","clone":"git clone https://github.com/panagiotisanagnostou/HiPart.git","description":"Hierarchical divisive clustering algorithm execution, visualization and Interactive visualization.","language":"Python","stars":55,"topics":["pyhton","clustering","package","python-package","python3","bisecting-k-means","bisecting-kmeans","divisive-clustering","hierarchical-clustering","pddp"],"license":"MIT","category":"analytics","readme_excerpt":"HiPart: Hierarchical divisive clustering toolbox ================================================ This repository presents the HiPart package, an open-source native python library that provides efficient and interpretable 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. Installation ------------ For the installation of the package, the only necessary actions and requirements are a version of Python higher or equal to 3.8 and the execution of the following command. Simple Example Execution ------------------------ The example bellow is the simplest form of the package's execution. Shortly, it shows the creation of synthetic clustering dataset containing 6 clusters. Afterwards it is clustered with the DePDDP algorithm and only the cluster labels are returned. The HiPart package offers a comprehensive suite of examples to guide users in utilizing its various algorithms. These examples are conveniently located in the repository's examples directory. For a general understanding of the package's capabilities, users","default_branch":null,"files":null,"tree":[],"storefront":"/r/panagiotisanagnostou","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/panagiotisanagnostou/HiPart/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}