Media Summary: 0:00 Recording start 0:27 Lecture start 0:33 Announcements 2:43 0:00 Recording starts 0:45 Lecture starts 0:56 Drop/Withdrawal policy 1:26 Changes to the syllabus 4:34 Clarification of Lecture 2 ... 0:00 Recording starts 0:29 Announcements 2:26 Spectral clustering (intro) 5:23 Graphs 21:34 Approx. the partitioning problem ...
Data Mining Spring 2023 K - Detailed Analysis & Overview
0:00 Recording start 0:27 Lecture start 0:33 Announcements 2:43 0:00 Recording starts 0:45 Lecture starts 0:56 Drop/Withdrawal policy 1:26 Changes to the syllabus 4:34 Clarification of Lecture 2 ... 0:00 Recording starts 0:29 Announcements 2:26 Spectral clustering (intro) 5:23 Graphs 21:34 Approx. the partitioning problem ... 0:00 Recording start 0:48 Lecture begins 2:16 The logistics of the course 5:05 Website (main) 9:48 Pre-requisites 15:40 Reading ... 0:00 Recording Start 0:15 Lecture starts 0:20 Course Materials Copyright 1:10 Announcements 2:06 Choosing 0:00 Recording start 0:48 Announcements 8:43 Spectral clustering (finish) 16:59 Frequent items problem (intro) 21:37 Fi-frequent ...
0:00 Recording starts 0:42 Announcements 3:44 Distance metric learning 14:59 Recasting the optimization objective 33:21 ... 0:00 Recording starts 0:20 Lecture starts 0:27 Announcement (Piazza) 0:54 Plagiarism/cheating policy 1:31 Projects 12:14 ... 0:00 Recording starts 0:32 Lecture starts 0:44 Announcements 10:35 Motivation 11:13 IID assumptions 18:50 Notation (today) ... 0:00 Recording starts 0:16 Lecture starts 0:17 Announcements 3:27 Clustering (intro) 11:14 Categories of clustering algos 23:38 ... Yeah from regression not from the beginning from January so only after 0:00 Recording starts 0:38 Lecture starts 0:50 Announcements 3:53 Recap 5:21 Multicolinearity 23:09 Principal Component ...
0:00 Recording starts 1:27 Lecture starts 1:55 MDS (motivation) 8:31 MDS (outline) 24:41 MDS (clarification) 39:17 LDA ... In this video, we use silhouette scores together with
