847 search results - page 49 / 170 » Approximation algorithms for projective clustering |
218
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ICDE
2003
IEEE
16 years 1 months ago
2003
IEEE
Stream data is common in many applications, e.g., stock quotes, merchandize sales record, system logs, etc.. It is of great importance to analyze these stream data. As one of the ...
135
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FOCS
2010
IEEE
14 years 10 months ago
2010
IEEE
We consider k-median clustering in finite metric spaces and k-means clustering in Euclidean spaces, in the setting where k is part of the input (not a constant). For the k-means pr...
93
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ICTAI
2007
IEEE
15 years 7 months ago
2007
IEEE
Many real datasets have uncertain categorical attribute values that are only approximately measured or imputed. Uncertainty in categorical data is commonplace in many applications...
104
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PDPTA
2004
15 years 2 months ago
2004
Current systems for managing workload on clusters of workstations, particularly those available for Linuxbased (Beowulf) clusters, are typically based on traditional process-based...
116
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BMCBI
2008
15 years 22 days ago
2008
Background: Inferring cluster structure in microarray datasets is a fundamental task for the so-called -omic sciences. It is also a fundamental question in Statistics, Data Analys...