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» Scalability for Clustering Algorithms Revisited
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ATAL
2005
Springer
15 years 5 months ago
Tunably decentralized algorithms for cooperative target observation
Multi-agent problem domains may require distributed algorithms for a variety of reasons: local sensors, limitations of communication, and availability of distributed computational...
Sean Luke, Keith Sullivan, Liviu Panait, Gabriel C...
CSB
2003
IEEE
150views Bioinformatics» more  CSB 2003»
15 years 5 months ago
Algorithms for Bounded-Error Correlation of High Dimensional Data in Microarray Experiments
The problem of clustering continuous valued data has been well studied in literature. Its application to microarray analysis relies on such algorithms as -means, dimensionality re...
Mehmet Koyutürk, Ananth Grama, Wojciech Szpan...
ICPR
2008
IEEE
15 years 6 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
2003
IEEE
15 years 5 months ago
Server Scheduling Scheme for Asynchronous Cluster Video Server
In this paper, we propose an asynchronous cluster video server architecture, which is quite different from synchronous video server architecture in various aspects such as stripin...
Jianhua Sun, Hai Jin, Hao Chen, Zongfen Han
INFOCOM
2006
IEEE
15 years 5 months ago
A Locating-First Approach for Scalable Overlay Multicast
— Recent proposals in multicast overlay construction have demonstrated the importance of exploiting underlying network topology. However, these topology-aware proposals often rel...
Mohamed Ali Kâafar, Thierry Turletti, Walid ...