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» Adaptive K-Means Clustering
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SC
2004
ACM
15 years 3 months ago
A Self-Organizing Storage Cluster for Parallel Data-Intensive Applications
Cluster-based storage systems are popular for data-intensive applications and it is desirable yet challenging to provide incremental expansion and high availability while achievin...
Hong Tang, Aziz Gulbeden, Jingyu Zhou, William Str...
ICANN
2003
Springer
15 years 3 months ago
Expectation-MiniMax Approach to Clustering Analysis
Abstract. This paper proposes a general approach named ExpectationMiniMax (EMM) for clustering analysis without knowing the cluster number. It describes the contrast function of Ex...
Yiu-ming Cheung
EUROPAR
2001
Springer
15 years 2 months ago
VIA Communication Performance on a Gigabit Ethernet Cluster
As the technology for high-speed networks has evolved over the last decade, the interconnection of commodity computers (e.g., PCs and workstations) at gigabit rates has become a re...
Mark Baker, Paul A. Farrell, Hong Ong, Stephen L. ...
ICC
2007
IEEE
154views Communications» more  ICC 2007»
15 years 1 months ago
Topology Management in CogMesh: A Cluster-Based Cognitive Radio Mesh Network
As the radio spectrum usage paradigm shifting from the traditional command and control allocation scheme to the open spectrum allocation scheme, wireless mesh networks meet new opp...
Tao Chen, Honggang Zhang, Gian Mario Maggio, Imric...
ESWA
2008
116views more  ESWA 2008»
14 years 10 months ago
The application of clustering analysis for the critical areas on TFT-LCD panel
For thin film transistor-liquid crystal displays (TFT-LCD) factories in Taiwan, yield performance had become as an important competitiveness determinant during the competitive env...
Kun-Lin Hsieh