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» Approximation algorithms for projective clustering
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SDM
2009
SIAM
220views Data Mining» more  SDM 2009»
16 years 1 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 9 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 10 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»
15 years 4 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...
CORR
1999
Springer
222views Education» more  CORR 1999»
15 years 3 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