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» A practical comparison of two K-Means clustering algorithms
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NAS
2007
IEEE
15 years 6 months ago
Performance Evaluation of A Load Self-Balancing Method for Heterogeneous Metadata Server Cluster Using Trace-Driven and Syntheti
In cluster-based storage systems, the metadata server cluster must be able to adaptively distribute responsibility for metadata to maintain high system performance and long-term l...
Bin Cai, Changsheng Xie, Guangxi Zhu
GECCO
2006
Springer
168views Optimization» more  GECCO 2006»
15 years 3 months ago
Crossover gene selection by spatial location
Spatial based gene selection for division of chromosomes used by crossover operators is proposed for three-dimensional problems. This spatial selection is shown to preserve more g...
David M. Cherba, William F. Punch
93
Voted
ICPR
2006
IEEE
16 years 24 days ago
Learning Wormholes for Sparsely Labelled Clustering
Distance functions are an important component in many learning applications. However, the correct function is context dependent, therefore it is advantageous to learn a distance f...
Eng-Jon Ong, Richard Bowden
COCOON
2010
Springer
15 years 4 months ago
Clustering with or without the Approximation
We study algorithms for clustering data that were recently proposed by Balcan, Blum and Gupta in SODA’09 [4] and that have already given rise to two follow-up papers. The input f...
Frans Schalekamp, Michael Yu, Anke van Zuylen
CLUSTER
2006
IEEE
15 years 5 months ago
Energy-Aware Duplication Strategies for Scheduling Precedence-Constrained Parallel Tasks on Clusters
Optimizing energy consumption has become a major concern in designing economical clusters. Scheduling precedence-constrained parallel tasks on clusters is challenging because of h...
Ziliang Zong, Adam Manzanares, Brian Stinar, Xiao ...