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101
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ICDM
2008
IEEE
185views Data Mining» more  ICDM 2008»
15 years 6 months ago
Clustering Uncertain Data Using Voronoi Diagrams
We study the problem of clustering uncertain objects whose locations are described by probability density functions (pdf). We show that the UK-means algorithm, which generalises t...
Ben Kao, Sau Dan Lee, David W. Cheung, Wai-Shing H...
217
Voted
ICDE
2009
IEEE
202views Database» more  ICDE 2009»
16 years 2 months ago
Tracking High Quality Clusters over Uncertain Data Streams
Recently, data mining over uncertain data streams has attracted a lot of attentions because of the widely existed imprecise data generated from a variety of streaming applications....
Chen Zhang, Ming Gao, Aoying Zhou
ICDE
2008
IEEE
153views Database» more  ICDE 2008»
16 years 1 months ago
A Framework for Clustering Uncertain Data Streams
Abstract-- In recent years, uncertain data management applications have grown in importance because of the large number of hardware applications which measure data approximately. F...
Charu C. Aggarwal, Philip S. Yu
124
Voted
CIT
2004
Springer
15 years 5 months ago
Associativity Based Mobility-Adaptive K-Clustering in Mobile Ad-Hoc Networks
To solve the scalability issue of ad hoc network, a new cluster maintenance protocol is proposed. Clusters may change dynamically, reflecting the mobility of the underlying networ...
Chinnappan Jayakumar, Chenniappan Chellappan
158
Voted
BMCBI
2007
265views more  BMCBI 2007»
15 years 16 days ago
Large scale clustering of protein sequences with FORCE -A layout based heuristic for weighted cluster editing
Background: Detecting groups of functionally related proteins from their amino acid sequence alone has been a long-standing challenge in computational genome research. Several clu...
Tobias Wittkop, Jan Baumbach, Francisco P. Lobo, S...