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» DBDC: Density Based Distributed Clustering
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COLT
2008
Springer
13 years 9 months ago
Model Selection and Stability in k-means Clustering
Clustering Stability methods are a family of widely used model selection techniques applied in data clustering. Their unifying theme is that an appropriate model should result in ...
Ohad Shamir, Naftali Tishby
ICDCS
2012
IEEE
11 years 9 months ago
NEAT: Road Network Aware Trajectory Clustering
—Mining trajectory data has been gaining significant interest in recent years. However, existing approaches to trajectory clustering are mainly based on density and Euclidean di...
Binh Han, Ling Liu, Edward Omiecinski
SPAA
2005
ACM
14 years 20 days ago
Constant density spanners for wireless ad-hoc networks
An important problem for wireless ad hoc networks has been to design overlay networks that allow time- and energy-efficient routing. Many local-control strategies for maintaining...
Kishore Kothapalli, Christian Scheideler, Melih On...
ESANN
2004
13 years 8 months ago
Robust Bayesian Mixture Modelling
Abstract. Bayesian approaches to density estimation and clustering using mixture distributions allow the automatic determination of the number of components in the mixture. Previou...
Christopher M. Bishop, Markus Svensén
IPPS
2010
IEEE
13 years 5 months ago
Robust control-theoretic thermal balancing for server clusters
Thermal management is critical for clusters because of the increasing power consumption of modern processors, compact server architectures and growing server density in data center...
Yong Fu, Chenyang Lu, Hongan Wang