Bayesian Biclustering on Discrete Data: Variable Selection Methods
Biclustering is a technique for clustering rows and columns of a data matrix simultaneously. Over the past few years, we have seen its applications in biology-related fields, as well as in many data mining projects. As opposed to classical clustering methods, biclustering groups objects that are sim...
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Language: | en_US |
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Harvard University
2013
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Online Access: | http://dissertations.umi.com/gsas.harvard:11201 http://nrs.harvard.edu/urn-3:HUL.InstRepos:11181216 |