DSCI_V 563 - 003 - (Lecture)

Unsupervised learning. K-means/medoids. Model-based clustering. Expectation-maximization algorithm. Hierarchical clustering. Dimension reduction. Matrix decomposition. Heatmaps, contour plots, dendograms. This course is not eligible for Credit/D/Fail grading. Prerequisite: All of DSCI 511, DSCI 521.