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Supervised vs. Unsupervised Learning

  • Supervised learning (classification)
    • Supervision: The training data (observations, measurements, etc.) are accompanied by labels indicating the class of the observations
    • New data is classified based on the training set
  • Unsupervised learning (clustering)
    • The class labels of training data is unknown
    • Given a set of measurements, observations, etc. with the aim of establishing the existence of classes or clusters in the data

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