CS 449 Data Clustering
Clustering is a fundamental data analysis technique with applications in the areas such as machine learning, natural language processing and data mining. The course covers a range of clustering problems, such as k-means and k-median, that are used in the real world to model practical applications. The main focus is on various heuristics and approximation algorithms that are used to successfully perform the task of clustering.
Slash Listed Courses
Also offered for graduate-level credit as
CS 549 and may be taken only once for credit.