In Lecture 14 we discuss k-means, the popular method for clustering data Timeline: 00:00 Introduction 03:04 Clustering and its applications 14:19 K-means algorithm 36:53 Optimal number of clusters 43:20 Elbow method 48:52 Failures of k-means algorithm 52:02 Conclusion The course “Mathematical Statistics“ for the 2nd year bachelors in Economics Taught at BRICS institute, Irkutsk National Research Technical University, Spring semester 2022
Hide player controls
Hide resume playing