5046 search results - page 76 / 1010 » Non-redundant data clustering |
211
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ICPP
2000
IEEE
15 years 10 months ago
2000
IEEE
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
141
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GECCO
2004
Springer
15 years 11 months ago
2004
Springer
Clustering is crucial to many applications in pattern recognition, data mining, and machine learning. Evolutionary techniques have been used with success in clustering, but most su...
204
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CVPR
2012
IEEE
13 years 8 months ago
2012
IEEE
The projections of world parallel lines in an image intersect at a single point called the vanishing point (VP). VPs are a key ingredient for various vision tasks including rotati...
183
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BMCBI
2008
15 years 6 months ago
2008
Background: A typical step in the analysis of gene expression data is the determination of clusters of genes that exhibit similar expression patterns. Researchers are confronted w...
196
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CSDA
2007
15 years 6 months ago
2007
Model-based clustering exploits finite mixture models for detecting group in a data set. It provides a sound statistical framework which can address some important issues, such as...