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MATH 252

Cluster Analysis

Description
Cluster analysis techniques. Dissimilarities and distances. Hierarchical clustering, distance-based clustering, fuzzy clustering, spectral clustering, subspace clustering, categorical data clustering. Clustering method for high dimensional datasets. Prerequisite: Math 32, Math 129A (each with a grade of B or better), Math 163, and Math 267A or CS122 or instructor consent.

Grading
Normal Grade Rules

Units
3