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» Approximation algorithms for projective clustering
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SDM
2009
SIAM
220views Data Mining» more  SDM 2009»
15 years 8 months ago
Bayesian Cluster Ensembles.
Cluster ensembles provide a framework for combining multiple base clusterings of a dataset to generate a stable and robust consensus clustering. There are important variants of th...
Hongjun Wang, Hanhuai Shan, Arindam Banerjee
ESORICS
2005
Springer
15 years 4 months ago
Privacy Preserving Clustering
The freedom and transparency of information flow on the Internet has heightened concerns of privacy. Given a set of data items, clustering algorithms group similar items together...
Somesh Jha, Louis Kruger, Patrick McDaniel
ICC
2007
IEEE
113views Communications» more  ICC 2007»
15 years 5 months ago
Load-Balanced Clustering Algorithms for Wireless Sensor Networks
— In this paper, we investigate the problem of grouping the sensor nodes into clusters to enhance the overall scalability of the network. A selected set of nodes, known as gatewa...
Chor Ping Low, Can Fang, Jim Mee Ng, Yew Hock Ang
ALGORITHMICA
2005
110views more  ALGORITHMICA 2005»
14 years 11 months ago
Geographic Quorum System Approximations
Quorum systems are a mechanism for obtaining fault-tolerance and efficient distributed systems. We consider geographic quorum systems; a geographic quorum system is a partition of...
Paz Carmi, Shlomi Dolev, Sariel Har-Peled, Matthew...
144
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CORR
1999
Springer
222views Education» more  CORR 1999»
14 years 10 months ago
Analysis of approximate nearest neighbor searching with clustered point sets
Abstract. Nearest neighbor searching is a fundamental computational problem. A set of n data points is given in real d-dimensional space, and the problem is to preprocess these poi...
Songrit Maneewongvatana, David M. Mount