The Self-Organizing Map (SOM), developed by Teuvo Kohonen in the 1980s, is a powerful tool for simplifying high-dimensional data. By clustering and visualising data relationships, SOMs are widely used in Australian sectors like policy-making, geoscience, and public transport.
A Brief History: Who Developed It? Clustering algorithms originated at the intersection of statistics and computational advancements. Hugo Steinhaus introduced the k-means clustering concept in 1956, while James MacQueen refined it in 1967, transforming it into a practical tool for …
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