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» Approximation Algorithms for Tensor Clustering
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ICDT
2009
ACM
148views Database» more  ICDT 2009»
14 years 8 months ago
Tight results for clustering and summarizing data streams
In this paper we investigate algorithms and lower bounds for summarization problems over a single pass data stream. In particular we focus on histogram construction and K-center c...
Sudipto Guha
FOCM
2007
55views more  FOCM 2007»
13 years 7 months ago
On Location and Approximation of Clusters of Zeros: Case of Embedding Dimension One
Isolated multiple zeros or clusters of zeros of analytic maps with several variables are known to be difficult to locate and approximate. This article is in the vein of the α-theo...
Marc Giusti, Grégoire Lecerf, Bruno Salvy, ...
SDM
2009
SIAM
220views Data Mining» more  SDM 2009»
14 years 5 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
14 years 1 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»
14 years 2 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