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» Adaptive K-Means Clustering
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COLT
2010
Springer
14 years 7 months ago
Robust Hierarchical Clustering
One of the most widely used techniques for data clustering is agglomerative clustering. Such algorithms have been long used across many different fields ranging from computational...
Maria-Florina Balcan, Pramod Gupta
CCGRID
2003
IEEE
15 years 3 months ago
Leveraging Non-Uniform Resources for Parallel Query Processing
Clusters are now composed of non-uniform nodes with different CPUs, disks or network cards so that customers can adapt the cluster configuration to the changing technologies and t...
Tobias Mayr, Philippe Bonnet, Johannes Gehrke, Pra...
CVPR
2008
IEEE
15 years 11 months ago
Constrained spectral clustering through affinity propagation
Pairwise constraints specify whether or not two samples should be in one cluster. Although it has been successful to incorporate them into traditional clustering methods, such as ...
Miguel Á. Carreira-Perpiñán, ...
ICDCSW
2005
IEEE
15 years 3 months ago
Bandwidth Clustering for Reliable and Prioritized Network Routing Using Split Agent-Based Method
Recent researches have highlighted the importance of developing a network with distributed problem solving abilities thus enhancing reliability with equal share of network resourc...
Constandinos X. Mavromoustakis, Helen D. Karatza
CVPR
2004
IEEE
15 years 11 months ago
Bayesian Face Recognition Using Support Vector Machine and Face Clustering
In this paper, we first develop a direct Bayesian based Support Vector Machine by combining the Bayesian analysis with the SVM. Unlike traditional SVM-based face recognition metho...
Zhifeng Li, Xiaoou Tang