event thumbnail image
Stability and Resampling Methods for Clustering
Pascal

Stability in Mixture Modelling

author: Tilman Lange, ETH Zurich
You might be experiencing some problems with Your Video player.
Slides
0:00 Stability in Mixture Modeling
0:32 Outline
1:23 What is Clustering?
3:40 Outline
3:48 Clustering by Mixture Models
6:24 Clustering by Mixture Models (cont.)
8:36 Parameter Estimation and MAP Assignments
10:58 Consistency of ML Estimates in MMs
12:36 Outline
12:57 Stability as Avg. Disagreement of Clustering
Solutions
14:17 Stability (cont.)
15:35 Stability is a Necessity in Clustering
18:18 A Quick Look At Another Example
19:54 Stability in Mixture Modeling
25:25 Stability in Mixture Modeling (cont.)
29:02 What does this mean?
32:48 On Non-Asymptotic Considerations
34:29 What else?
37:17 Summary

Lecture rating

People found this lecture:
Worth seeing
because it is:
 Valuable and informative
Well presented
Easily understandable
Acceptably recorded
You need to login to cast your vote.

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment: