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KDD
2000
ACM
149views Data Mining» more  KDD 2000»
15 years 1 months ago
Efficient clustering of high-dimensional data sets with application to reference matching
Many important problems involve clustering large datasets. Although naive implementations of clustering are computationally expensive, there are established efficient techniques f...
Andrew McCallum, Kamal Nigam, Lyle H. Ungar
HPCC
2007
Springer
15 years 3 months ago
Maximum-Objective-Trust Clustering Solution and Analysis in Mobile Ad Hoc Networks
In mobile-AdHoc networks (MANETs), many applications need the support of layer-structure. Clustering solution is the most widely used layerstructure and the choosing of clusterhead...
Qiang Zhang, Guangming Hu, Zhenghu Gong
ICDCS
2006
IEEE
15 years 3 months ago
Analysis of Clustering and Routing Overhead for Clustered Mobile Ad Hoc Networks
This paper presents an analysis of the control overhead involved in clustering and routing for one-hop clustered mobile ad hoc networks. Previous work on the analysis of control o...
Mingqiang Xue, Inn Inn Er, Winston Khoon Guan Seah
BMCBI
2008
178views more  BMCBI 2008»
14 years 9 months ago
Identification of coherent patterns in gene expression data using an efficient biclustering algorithm and parallel coordinate vi
Background: The DNA microarray technology allows the measurement of expression levels of thousands of genes under tens/hundreds of different conditions. In microarray data, genes ...
Kin-On Cheng, Ngai-Fong Law, Wan-Chi Siu, Alan Wee...
ALENEX
2008
142views Algorithms» more  ALENEX 2008»
14 years 11 months ago
Consensus Clustering Algorithms: Comparison and Refinement
Consensus clustering is the problem of reconciling clustering information about the same data set coming from different sources or from different runs of the same algorithm. Cast ...
Andrey Goder, Vladimir Filkov