minisom and kohonen-maps
These are competitors: MiniSom is a mature, widely-adopted SOM implementation suitable for production use, while Kohonen-maps is a lesser-known alternative that extends the basic SOM concept with GSOM (Growing Self-Organizing Maps) but lacks practical adoption.
About minisom
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.
About kohonen-maps
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.
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