abhinavralhan/kohonen-maps
Implementation of SOM and GSOM
This tool helps data analysts and researchers understand complex datasets by visually organizing high-dimensional data into intuitive, low-dimensional maps. You input raw data, and it outputs visual maps like U-Matrices or hit maps, showing how data points cluster and relate. It's ideal for anyone needing to identify patterns, segment groups, or spot anomalies within their data.
Use this if you need to visualize inherent structures in your data, such as customer segments or document topics, without knowing the categories beforehand.
Not ideal if your primary goal is high-performance classification or regression, or if you need to process extremely large datasets where scalability is the main concern.
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63
Language
Jupyter Notebook
License
MIT
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Last pushed
Mar 04, 2026
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