Understanding Aa 18 19 Lecture 8

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Hierarchical Clustering. Agglomerative and Divisive Clustering. Clustering Features. Classification. Linear separability and discriminants. Logistic Regression. Using linear classifiers in higher dimensions. Graphical methods, Hidden markov models. The Baum-Welch and Vitterbi algorithms.

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