[Dbworld] Clustering special issue

The current issue of the Machine Learning journal on "Theoretical 
Advances in Data Clustering" is now freely available to all for only 
the next 6 months.  To view articles in the issue, please visit
     http://www.kluweronline.com/issn/0885-6125
and select "Current Issue".
-Nina




Table of Contents:


Introduction: Special Issue on Theoretical Advances in Data Clustering
Nina Mishra, Rajeev Motwani  
 
Clustering Large Graphs via the Singular Value Decomposition
P. Drineas, A. Frieze, R. Kannan, S. Vempala, V. Vinay 
 
Optimal Time Bounds for Approximate Clustering
Ramgopal R. Mettu, C. Greg Plaxton 
 
A k-Median Algorithm with Running Time Independent of Data Size
Adam Meyerson, Liadan O'Callaghan, Serge Plotkin 

Correlation Clustering
Nikhil Bansal, Avrim Blum, Shuchi Chawla 
 
A New Conceptual Clustering Framework
Nina Mishra, Dana Ron, Ram Swaminathan 
 
Subquadratic Approximation Algorithms for Clustering Problems in High 
Dimensional Spaces
Allan Borodin, Rafail Ostrovsky, Yuval Rabani 
 
Central Clustering of Attributed Graphs
Brijnesh J. Jain, Fritz Wysotzki 
 
Semi-Supervised Learning on Riemannian Manifolds
Mikhail Belkin, Partha Niyogi 


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