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Unsupervised learning aims to find hidden patterns in unlabeled data. It is used for tasks like clustering, dimensionality reduction, and association rule learning. The chapter discusses popular unsupervised learning algorithms such as k-means clustering, principal component analysis, and association rule mining and their applications.

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Trịnh Nam

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EN