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» Adaptive K-Means Clustering
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IPM
2006
64views more  IPM 2006»
14 years 9 months ago
Text mining without document context
We consider a challenging clustering task: the clustering of muti-word terms without document co-occurrence information in order to form coherent groups of topics. For this task, ...
Eric SanJuan, Fidelia Ibekwe-Sanjuan
75
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CLUSTER
2008
IEEE
15 years 4 months ago
Reliable adaptable Network RAM
Abstract—We present reliability solutions for adaptable Network RAM systems running on general-purpose clusters. Network RAM allows nodes with over-committed memory to swap pages...
Tia Newhall, Daniel Amato, Alexandr Pshenichkin
ARCS
2004
Springer
15 years 3 months ago
The SDVM: A Self Distributing Virtual Machine for Computer Clusters
Computer systems of the future will consist more and more of autonomous and cooperative system parts and behave self-organizing. Self-organizing is mainly characterized by adaptive...
Jan Haase, Frank Eschmann, Bernd Klauer, Klaus Wal...
ACCV
1998
Springer
15 years 1 months ago
Skin-Color Modeling and Adaptation
Abstract. This paper studies a statistical skin-color model and its adaptation. It is revealed that 1 human skin colors cluster in a small region in a color space; 2 the variance o...
Jie Yang, Weier Lu, Alex Waibel
ESWA
2008
119views more  ESWA 2008»
14 years 9 months ago
Incremental clustering of mixed data based on distance hierarchy
Clustering is an important function in data mining. Its typical application includes the analysis of consumer's materials. Adaptive resonance theory network (ART) is very pop...
Chung-Chian Hsu, Yan-Ping Huang