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Feb 8, 2018 · Artificial Intelligence

How Self‑Organizing Maps Work: Key Features, Design Tips & K‑Means Comparison

This article explains the principles, biological inspiration, network structure, training process, design parameters, and practical differences of Self‑Organizing Maps (SOM), an unsupervised neural network used for clustering, visualization, and feature extraction, and compares it with methods like K‑means.