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» Intractability and clustering with constraints
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SDM
2009
SIAM
193views Data Mining» more  SDM 2009»
15 years 7 months ago
Agglomerative Mean-Shift Clustering via Query Set Compression.
Mean-Shift (MS) is a powerful non-parametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets...
Xiaotong Yuan, Bao-Gang Hu, Ran He
IPCCC
2006
IEEE
15 years 3 months ago
SHARP: a new real-time scheduling algorithm to improve security of parallel applications on heterogeneous clusters
This paper addresses the problem of improving quality of security for real-time parallel applications on heterogeneous clusters. We propose a new security- and heterogeneity-drive...
Tao Xie 0004, Xiao Qin, Mais Nijim
AINA
2008
IEEE
14 years 11 months ago
A Communication-Efficient Distributed Clustering Algorithm for Sensor Networks
Sensor networks usually generate continuous stream of data over time. Clustering sensor data as a core task of mining sensor data plays an essential role in analytical application...
Amirhosein Taherkordi, Reza Mohammadi, Frank Elias...
CORR
2007
Springer
126views Education» more  CORR 2007»
14 years 9 months ago
Interference and Outage in Clustered Wireless Ad Hoc Networks
—In the analysis of large random wireless networks, the underlying node distribution is almost ubiquitously assumed to be the homogeneous Poisson point process. In this paper, th...
Radha Krishna Ganti, Martin Haenggi
ICDM
2005
IEEE
146views Data Mining» more  ICDM 2005»
15 years 3 months ago
Merging Interface Schemas on the Deep Web via Clustering Aggregation
We consider the problem of integrating a large number of interface schemas over the Deep Web, The scale of the problem and the diversity of the sources present serious challenges ...
Wensheng Wu, AnHai Doan, Clement T. Yu