DSCI_V 563 - Unsupervised Learning
Unsupervised learning. K-means/medoids. Model-based clustering. Expectation-maximization algorithm. Hierarchical clustering. Dimension reduction. Matrix decomposition. Heatmaps, contour plots, dendograms. Prerequisite: All of DSCI_V 511, DSCI_V 521.
Credits: 1.00
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