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ICML
2007
IEEE
16 years 4 months ago
Best of both: a hybridized centroid-medoid clustering heuristic
Although each iteration of the popular kMeans clustering heuristic scales well to larger problem sizes, it often requires an unacceptably-high number of iterations to converge to ...
Nizar Grira, Michael E. Houle
ICPR
2008
IEEE
15 years 10 months ago
Kernel Bisecting k-means clustering for SVM training sample reduction
This paper presents a new algorithm named Kernel Bisecting k-means and Sample Removal (KBK-SR) as a sampling preprocessing for SVM training to improve the scalability. The novel c...
Xiao-Zhang Liu, Guo-Can Feng
AINA
2006
IEEE
15 years 9 months ago
Clustering Protocol for Sensor Networks
In this paper we present Clustering Protocol (CP) for sensor networks. Clustering techniques are used by different protocols and applications to increase scalability and reduce de...
Arjan Durresi, Vamsi Paruchuri, Leonard Barolli
135
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DSN
2006
IEEE
15 years 9 months ago
High Throughput Total Order Broadcast for Cluster Environments
Total order broadcast is a fundamental communication primitive that plays a central role in bringing cheap software-based high availability to a wide array of services. This paper...
Rachid Guerraoui, Ron R. Levy, Bastian Pochon, Viv...
NCA
2006
IEEE
15 years 9 months ago
SecLEACH - A Random Key Distribution Solution for Securing Clustered Sensor Networks
Clustered sensor networks have been shown to increase system throughput, decrease system delay, and save energy. While those with rotating cluster heads, such as LEACH, have also ...
Leonardo B. Oliveira, Hao Chi Wong, Marshall W. Be...