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 ...
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...
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...
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...
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...