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Self-Organizing Maps (SOMs) in Deep Learning for Data Mining

  • Self-Organizing Maps (SOMs) are used in deep learning for data mining.
  • SOMs excel at clustering high-dimensional data and can be used for tasks like customer segmentation and market basket analysis.
  • SOMs reduce the dimensionality of complex data while preserving important features, making visualization and analysis easier.
  • SOMs are useful for creating intuitive visualizations, detecting anomalies, but require careful selection of parameters and can be sensitive to weight initialization.

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