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Neural Network Approaches

  • Neural network approaches
    • Represent each cluster as an exemplar, acting as a “prototype” of the cluster
    • New objects are distributed to the cluster whose exemplar is the most similar according to some distance measure
  • Typical methods
    • SOM (Soft-Organizing feature Map)
    • Competitive learning
      • Involves a hierarchical architecture of several units (neurons)
      • Neurons compete in a “winner-takes-all” fashion for the object currently being presented

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