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159
Voted
ICASSP
2010
IEEE
15 years 7 months ago
2010
IEEE
This paper deals with clustering of spatially distributed data using wireless sensor networks. A distributed low-complexity clustering algorithm is developed that requires one-hop...
202
Voted
ICDM
2009
IEEE
15 years 4 months ago
2009
IEEE
This paper presents a simple but powerful extension of the maximum margin clustering (MMC) algorithm that optimizes multivariate performance measure specifically defined for clust...
195
Voted
SDM
2008
SIAM
15 years 8 months ago
2008
SIAM
The recent years have witnessed a surge of interests of semi-supervised clustering methods, which aim to cluster the data set under the guidance of some supervisory information. U...
184
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
Clustering aims to find useful hidden structures in data. In this paper we present a new clustering algorithm that builds upon the consistency method (Zhou, et.al., 2003), a semi-...
163
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CIKM
2009
Springer
16 years 1 months ago
2009
Springer
Clustering ensembles combine different clustering solutions into a single robust and stable one. Most of existing methods become highly time-consuming when the data size turns to ...