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» Adaptive K-Means Clustering
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ESANN
1997
14 years 11 months ago
Kohonen maps versus vector quantization for data analysis
Besides their topological properties, Kohonen maps are often used for vector quantization only. These auto-organised networks are often compared to other standard and/or adaptive v...
Eric de Bodt, Michel Verleysen, Marie Cottrell
WWW
2005
ACM
15 years 10 months ago
A personalized search engine based on web-snippet hierarchical clustering
In this paper we propose a hierarchical clustering engine, called SnakeT, that is able to organize on-the-fly the search results drawn from 16 commodity search engines into a hier...
Paolo Ferragina, Antonio Gulli
CLUSTER
2004
IEEE
15 years 1 months ago
Rolls: modifying a standard system installer to support user-customizable cluster frontend appliances
The Rocks toolkit [9], [7], [10] uses a graph-based framework to describe the configuration of all node types (termed appliances) that make up a complete cluster. With hundreds of...
Greg Bruno, Mason J. Katz, Federico D. Sacerdoti, ...
CLUSTER
2004
IEEE
14 years 9 months ago
Resource Management for Ad-Hoc Wireless Networks with Cluster Organization
Boosted by technology advancements, government and commercial interest, ad-hoc wireless networks are emerging as a serious platform for distributed mission-critical applications. G...
Ionut Cardei, Srivatsan Varadarajan, Allalaghatta ...
ICPP
2009
IEEE
15 years 4 months ago
SkipStream: A Clustered Skip Graph Based On-demand Streaming Scheme over Ubiquitous Environments
Providing continuous on-demand streaming services with VCR functionality over ubiquitous environments is challenging due to the stringent QoS requirements of streaming service as ...
Qifeng Yu, Tianyin Xu, Baoliu Ye, Sanglu Lu, Daoxu...