momonga-ml/gower-express
More Preformant Gower distance with modern Python tooling
This project helps data professionals quickly find how similar different items or individuals are, even when their characteristics include both numbers (like age or salary) and categories (like city or product type). You input your mixed-type dataset, and it outputs a score or ranking showing how closely related each item is to others. Data scientists, machine learning engineers, and data analysts can use this for tasks like customer segmentation, product recommendations, or patient matching.
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Use this if you need to calculate similarity or distance between records in large datasets containing a mix of numerical and categorical information, especially if you have access to a GPU.
Not ideal if your datasets are very small or consist purely of numerical or purely categorical data, as simpler, specialized methods might be sufficient.
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Language
Python
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MIT
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Last pushed
Sep 05, 2025
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