Machine Learning 13 - K-means | Stanford CS221: AI (Autumn 2021)

For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai

Associate Professor Percy Liang
Associate Professor of Computer Science and Statistics (courtesy)
https://profiles.stanford.edu/percy-liang

Assistant Professor Dorsa Sadigh
Assistant Professor in the Computer Science Department & Electrical Engineering Department
https://profiles.stanford.edu/dorsa-sadigh

To follow along with the course schedule and syllabus, visit:
https://stanford-cs221.github.io/autumn2021/#schedule

0:00 Introduction
0:06 Machine learning: k-means
0:14 Word clustering
1:44 Classification (supervised learning)
2:22 Clustering (unsupervised learning)
3:36 Clustering task
4:14 Centroids
5:27 K-means objective
7:09 Alternating minimization from optimum
9:39 Alternating minimization from random initialization
12:54 K-means algorithm
17:01 Summary

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