A Survey on Recent Clustering Methods: Subspace Clustering, Projected Clustering and Biclustering

PhD Qualifying Examination


Title: "A Survey on Recent Clustering Methods: Subspace Clustering, 
	Projected Clustering and Biclustering"

by

Mr. Tengfei LIU


Abstract:

In the past decade, a large number of clustering algorithms have emerged 
with the aim to discover clusters which consist of subsets of objects and 
subsets of attributes. These algorithms are usually known as subspace 
clustering, projected clustering or biclustering.

This survey presents an overall picture of this area. We will introduce 
and differentiate the general ideas of these three clustering methods, 
discuss some representative algorithms, compare different approaches and 
summarize their characteristics. We will also discuss the problem of 
performance evaluation and summarize various quantitative measures which 
are used to assess the quality of resulting clusters.


Date:  			Friday, 26 February 2010

Time:           	10:00am - 12:00noon

Venue:          	Room 4480
			lifts 25/26

Committee Members: 	Prof. Nevin L Zhang (Supervisor)
			Prof. Dit-Yan Yeung (Chairperson)
			Dr. Raymond C W Wong
			Prof. Weichuan Yu


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