JustGlowing/minisom
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
This tool helps researchers and students understand complex, high-dimensional data by converting it into simpler, visual relationships on a 2D map. You input your raw data, like a table of observations, and it outputs a 'map' where similar data points are clustered together. Data analysts, scientists, or anyone dealing with complex datasets can use this to identify patterns or outliers.
1,576 stars. Actively maintained with 1 commit in the last 30 days. Available on PyPI.
Use this if you need to simplify high-dimensional data for visualization, pattern recognition, or outlier detection without prior knowledge of data categories.
Not ideal if you already have labeled data and want to predict specific outcomes, as this tool is for unsupervised learning and exploration.
Stars
1,576
Forks
442
Language
Python
License
MIT
Category
Last pushed
Mar 12, 2026
Commits (30d)
1
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