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.