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Mathematical Statistics. Lecture 14. Intro to Machine Learning: Clustering
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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
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