Lectures on Clustering
published: July 9, 2007, recorded: July 2007, views: 86484
Report a problem or upload filesIf 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.
Watch videos: (click on thumbnail to launch)
These lectures give an introduction to data clustering: we discuss a
few algorithms, but also look at theoretical questions related to
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.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !