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» Limits of Spectral Clustering
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105
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ADHOC
2006
116views more  ADHOC 2006»
15 years 25 days ago
Efficient clustering algorithms for self-organizing wireless sensor networks
Self-organization of wireless sensor networks, which involves network decomposition into connected clusters, is a challenging task because of the limited bandwidth and energy reso...
Rajesh Krishnan, David Starobinski
137
Voted
CIKM
2010
Springer
14 years 11 months ago
SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks
Community detection is an important task for mining the structure and function of complex networks. Generally, there are several different kinds of nodes in a network which are c...
Jianbin Huang, Heli Sun, Jiawei Han, Hongbo Deng, ...
106
Voted
KDD
2010
ACM
208views Data Mining» more  KDD 2010»
14 years 11 months ago
Towards mobility-based clustering
Identifying hot spots of moving vehicles in an urban area is essential to many smart city applications. The practical research on hot spots in smart city presents many unique feat...
Siyuan Liu, Yunhuai Liu, Lionel M. Ni, Jianping Fa...
SC
2009
ACM
15 years 7 months ago
Early performance evaluation of a "Nehalem" cluster using scientific and engineering applications
In this paper, we present an early performance evaluation of a 624-core cluster based on the Intel® Xeon® Processor 5560 (code named “Nehalem-EP”, and referred to as Xeon 55...
Subhash Saini, Andrey Naraikin, Rupak Biswas, Davi...
110
Voted
BMCBI
2007
152views more  BMCBI 2007»
15 years 27 days ago
Difference-based clustering of short time-course microarray data with replicates
Background: There are some limitations associated with conventional clustering methods for short time-course gene expression data. The current algorithms require prior domain know...
Jihoon Kim, Ju Han Kim