Presentation 2010-02-05
Valuable Properties in Spatial Clustering of End-to-End Delay Space
Marat ZHANIKEEV, Yoshiro OKADA, Yoshiaki TANAKA,
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Abstract(in English) Mathematical statistics offers many methods for clustering of arbitrary sets. In most cases, however, the number of clusters has to be known in advance (k-means). Some recent advances in clustering theory resulted in methods like mclust (R package), which automatically detects the best number of clusters for a given set. Apart from mathematical value, clustering of end-to-end delay space has unique properties which can be exploited when separating arbitrary sets of nodes into clusters separated in space. This paper looks into some of these properties. Results of this research can be used for generating temporary community networks in scale-free and/or unknown topologies.
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Keyword(in English) end-to-end delay / network embedding / tomography / topology / clustering
Paper # IN2009-142
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Committee IN
Conference Date 2010/1/28(1days)
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Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Valuable Properties in Spatial Clustering of End-to-End Delay Space
Sub Title (in English)
Keyword(1) end-to-end delay
Keyword(2) network embedding
Keyword(3) tomography
Keyword(4) topology
Keyword(5) clustering
1st Author's Name Marat ZHANIKEEV
1st Author's Affiliation School of International Liberal Studies, Waseda University()
2nd Author's Name Yoshiro OKADA
2nd Author's Affiliation Global Information and Telecommunication Institute, Waseda University
3rd Author's Name Yoshiaki TANAKA
3rd Author's Affiliation Global Information and Telecommunication Institute, Waseda University:Research Institute for Science and Engineering, Waseda University
Date 2010-02-05
Paper # IN2009-142
Volume (vol) vol.109
Number (no) 411
Page pp.pp.-
#Pages 4
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