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A Self-Organizing Map (SOM) is a type of neural network used to project high-dimensional data onto a lower-dimensional grid while preserving the relationships between data points. It is useful for tasks such as clustering, visualization, and pattern discovery in complex data sets.✔️ Makes high-dimensional data easier to interpret in a structured format✔️ Preserves the topological structure of the input space❌ Requires careful tuning of parameters like learning rate, neighborhood size, and grid d
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