Google TechTalks
March 22, 2006
Aristides Gionis
Aristides Gionis received his Ph.D. from Stanford University in 2003, and he is currently a senior researcher at the Basic Research Unit of Helsinki Institute of Information Technology.
ABSTRACT
We consider the following problem: given a set of clusterings, find a clustering that agrees as much as possible with the given clusterings.
This problem, clustering aggregation, appears naturally in various contexts. For example,clustering categorical data is an instance of the problem: each categorical variable can be viewed as a clustering of the input rows. Moreover, clustering aggregation can be used as a metaclustering method to improve the…