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Lecture17
This document provides an overview of clustering as presented in a machine learning lecture. It defines clustering as separating unlabeled data into natural groups. It discusses what makes a good clustering solution, including homogeneity within clusters and separation between clusters. The document also covers hierarchical clustering as a type of clustering, provides an example and pseudocode, and discusses distance functions and limitations of hierarchical clustering algorithms.
