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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