MIT: Machine Learning 6.036, Lecture 13: Clustering (Fall 2020)

* Lecture 13 for the MIT course 6.036: Introduction to Machine Learning (Fall 2020 Semester) * Full lecture information and slides: http://tamarabroderick.com/ml.html * Lecture date: 2020 / 12 / 01 * Lecturer: Tamara Broderick * Lecture TAs: Crystal Wang and Satvat Jagwani If you find any ways to improve how well the video captions reflect the live lectures, please submit a pull request to: https://github.com/tbroderick/ml_6036_2020_captions 0:00:00 Overview 0:00:43 Motivating Example: Food distribution placement 0:10:20 k-means algorithm 0:23:33 Compare to classification 0:27:44 Clustering & related 0:36:07 k-means algorithm: initialization 0:44:41 k-means algorithm: effect of k 0:47:24 k-means algorithm: choosing k 0:54:45 Cluster shape 1:06:54 Recap: Machine learning (ML): why & what