969 search results - page 61 / 194 » Clustering performance data efficiently at massive scales |
94
Voted
CSB
2004
IEEE
15 years 4 months ago
2004
IEEE
Clustering is a common methodology for analyzing the gene expression data. In this paper, we present a new clustering algorithm from an information-theoretic point of view. First,...
202
Voted
ICDE
2007
IEEE
16 years 2 months ago
2007
IEEE
Traditional similarity or distance measurements usually become meaningless when the dimensions of the datasets increase, which has detrimental effects on clustering performance. I...
119
Voted
BMCBI
2010
15 years 28 days ago
2010
Background: There are many important clustering questions in computational biology for which no satisfactory method exists. Automated clustering algorithms, when applied to large,...
104
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ICDCS
2006
IEEE
15 years 6 months ago
2006
IEEE
Hyperspectral imaging is a new technique which has become increasingly important in many remote sensing applications, including automatic target recognition for military and defen...
113
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ICDM
2009
IEEE
14 years 10 months ago
2009
IEEE
Clustering streaming data requires algorithms which are capable of updating clustering results for the incoming data. As data is constantly arriving, time for processing is limited...