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» The Practice of Cluster Analysis
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ICML
2007
IEEE
14 years 8 months ago
Maximum margin clustering made practical
Maximum margin clustering (MMC) is a recent large margin unsupervised learning approach that has often outperformed conventional clustering methods. Computationally, it involves n...
Kai Zhang, Ivor W. Tsang, James T. Kwok
ICML
2006
IEEE
14 years 8 months ago
Practical solutions to the problem of diagonal dominance in kernel document clustering
In supervised kernel methods, it has been observed that the performance of the SVM classifier is poor in cases where the diagonal entries of the Gram matrix are large relative to ...
Derek Greene, Padraig Cunningham
ICA3PP
2005
Springer
14 years 1 months ago
A Practical Comparison of Cluster Operating Systems Implementing Sequential and Transactional Consistency
Shared Memory is an interesting communication paradigm for SMP machines and clusters. Weak consistency models have been proposed to improve efficiency of shared memory applications...
Stefan Frenz, Renaud Lottiaux, Michael Schött...
DEBS
2010
ACM
13 years 11 months ago
Magnet: practical subscription clustering for Internet-scale publish/subscribe
An effective means for building Internet-scale distributed applications, and in particular those involving group-based information sharing, is to deploy peer-to-peer overlay netwo...
Sarunas Girdzijauskas, Gregory Chockler, Ymir Vigf...