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ORCIDMachine Learning, Volume 56, 2004
Volume 56, Number 1-3, July 2004
- Nina Mishra, Rajeev Motwani:
Introduction: Special Issue on Theoretical Advances in Data Clustering. 5-7
- Petros Drineas
, Alan M. Frieze, Ravi Kannan, Santosh S. Vempala, V. Vinay:
Clustering Large Graphs via the Singular Value Decomposition. 9-33 - Ramgopal R. Mettu, C. Greg Plaxton:
Optimal Time Bounds for Approximate Clustering. 35-60 - Adam Meyerson, Liadan O'Callaghan, Serge A. Plotkin:
A k-Median Algorithm with Running Time Independent of Data Size. 61-87 - Nikhil Bansal, Avrim Blum, Shuchi Chawla:
Correlation Clustering. 89-113 - Nina Mishra, Dana Ron, Ram Swaminathan:
A New Conceptual Clustering Framework. 115-151 - Allan Borodin, Rafail Ostrovsky, Yuval Rabani:
Subquadratic Approximation Algorithms for Clustering Problems in High Dimensional Spaces. 153-167 - Brijnesh J. Jain, Fritz Wysotzki:
Central Clustering of Attributed Graphs. 169-207 - Mikhail Belkin, Partha Niyogi:
Semi-Supervised Learning on Riemannian Manifolds. 209-239
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