Lectures on Clustering
published: July 9, 2007, recorded: July 2007, views: 86489
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Part 1: Spectral clustering 58:33
Part 2: Spectral clustering 51:05
Part 3: What is clustering, after all? 51:00
Part 4: Selecting the number of clusters 43:42
Description
These lectures give an introduction to data clustering: we discuss a
few algorithms, but also look at theoretical questions related to
clustering.
The first two lectures are devoted to spectral clustering:
graph Laplacians and their properties, spectral clustering algorithms,
mathematical derivations of the algorithms, and some implementation
issues. Moreover, we discuss the related modularity approach for
detecting communities in networks.
The third lecture is devoted to
the very general question "what clustering is". We try to look at
clustering from different angles, discuss different definitions of
clustering, and look into theoretical foundations of clustering in
general.
In the last lecture we work on the question how the number
of clusters should be defined. The focus is on two popular approaches:
the gap statistics and the stability approach.
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Reviews and comments:
Please post these lectures in wmv format. Thanks
The presentation is very good, but maybe the lectures could use a bit more detailed explanations for the benefit of less gifted students.
Good comprehensive lecture. Good work on explanation. Quality of recording is also good.
Najeed A Khan
how to download these lectures. i cant able to see them online also. they are not opening.
Please stop saying "something", "don't know", "some". Poor audience. I sympathize with your students. You are really not giving anything. Please point them to Manning's book and they will do it on their own.
Hi,
In lecture 1, the slides on "unnormalized graph laplacian - 1" at 14:36, the property on you proved for f'Lf, for any vector f in R^n does not seem to agree with what Spielman has.
http://www.cs.yale.edu/homes/spielman...
At page 2, he has a similar conclusion to yours but not the additional 1/2 multiplication. I am still not sure how the 1/2 ends up in your derivation. Am I missing something or could you elaborate more? Which one is correct?
-confused student
Hi,
In lecture 1, the slides on "unnormalized graph laplacian - 1" at 14:36, the property on you proved for f'Lf, for any vector f in R^n does not seem to agree with what Spielman has.
http://www.cs.yale.edu/homes/spielman...
At page 2, he has a similar conclusion to yours but not the additional 1/2 multiplication. I am still not sure how the 1/2 ends up in your derivation. Am I missing something or could you elaborate more? Which one is correct?
-confused student
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