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» On the Complexity of Ordinal Clustering
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IJON
2008
173views more  IJON 2008»
13 years 10 months ago
Support vector machine classification for large data sets via minimum enclosing ball clustering
Support vector machine (SVM) is a powerful technique for data classification. Despite of its good theoretic foundations and high classification accuracy, normal SVM is not suitabl...
Jair Cervantes, Xiaoou Li, Wen Yu, Kang Li
CORR
2007
Springer
72views Education» more  CORR 2007»
13 years 10 months ago
WACA: A Hierarchical Weighted Clustering Algorithm optimized for Mobile Hybrid Networks
—Clustering techniques create hierarchal network structures, called clusters, on an otherwise flat network. In a dynamic environment—in terms of node mobility as well as in ter...
Matthias R. Brust, Adrian Andronache, Steffen Roth...
PR
2007
293views more  PR 2007»
13 years 9 months ago
Mean shift-based clustering
In this paper, a mean shift-based clustering algorithm is proposed. The mean shift is a kernel-type weighted mean procedure. Herein, we first discuss three classes of Gaussian, C...
Kuo-Lung Wu, Miin-Shen Yang
CORR
2010
Springer
215views Education» more  CORR 2010»
13 years 8 months ago
Energy Efficient Clustering and Routing in Mobile Wireless Sensor Network
A critical need in Mobile Wireless Sensor Network (MWSN) is to achieve energy efficiency during routing as the sensor nodes have scarce energy resource. The nodes’ mobility in M...
Getsy S. Sara, Kalaiarasi R, Neelavathy Pari S, Sr...
ADC
2010
Springer
204views Database» more  ADC 2010»
13 years 5 months ago
Systematic clustering method for l-diversity model
Nowadays privacy becomes a major concern and many research efforts have been dedicated to the development of privacy protecting technology. Anonymization techniques provide an eff...
Md. Enamul Kabir, Hua Wang, Elisa Bertino, Yunxian...