Semi-supervised clustering methods
Author:
Affiliation:
1. Department of Endodontics; University of North Carolina at Chapel Hill; Chapel Hill NC USA
2. Department of Biostatistics; University of North Carolina at Chapel Hill; Chapel Hill NC USA
Funder
NIEHS
NCATS
Publisher
Wiley
Subject
Statistics and Probability
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/wics.1270/fullpdf
Reference70 articles.
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5. Text classification from labeled and unlabeled documents using EM;Nigam;Mach Learn,2000
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