panagiotisanagnostou/HiPart
Hierarchical divisive clustering algorithm execution, visualization and Interactive visualization.
This tool helps you group large datasets into meaningful, nested categories without predefined labels. You input your raw data or a pre-calculated distance matrix, and it outputs a set of hierarchical clusters and offers interactive visualizations to explore and refine them. This is ideal for data scientists, analysts, or researchers who need to discover natural groupings within complex information.
Available on PyPI.
Use this if you need to understand the underlying structure of your data by creating a hierarchy of clusters and want to interactively adjust the clustering process.
Not ideal if you already know the exact number of groups you need or if your dataset is very small and simple.
Stars
52
Forks
8
Language
Python
License
MIT
Category
Last pushed
Mar 09, 2026
Commits (30d)
0
Dependencies
9
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