Multilabel classification by a hierarchy

作者: German Sapozhnikov , Alexander Ulanov , Georgy Shevlyakov

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摘要: A technique of extracting hierarchies for multilabel classification. The can process a plurality labels related to documents, using clustering process, cluster the into clusterings representing classes. classifies documents and predicts performance characteristics, respectively, clusterings. selects at least one information from characteristics adds selected resulting hierarchy.

参考文章(14)
Kuo-Jang Kao, Andrew T. Huang, Kai-Ming Chang, Methods for classifying and treating breast cancers ,(2011)
Stanley W. Hall, Helen C. Sing, Maria L. Thomas, Gregory L. Belenky, Daniel P. Redmond, David R. Thorne, Gary H. Kamimori, Thomas J. Balkin, Nancy Jo Wesensten, System and method for predicting human cognitive performance using data from an actigraph ,(1999)
Michael Allen Vicic, Chang-Meng B. Hsiung, Michael Gregory Steinthal, Bethsabeth Munoz, Shou-Hua Zhang, Ajoy Kumar Roy, Steven A. Sunshine, Temporary expanding integrated monitoring network ,(2011)
Susanne Schnittger, Wolfgang Kern, Alexander Kohlmann, Claudia Schoch, Martin Dugas, Torsten Haferlach, Classification of acute myeloid leukemia ,(2005)
Evan R. Kirshenbaum, George H. Forman, Feature selection based on partial ordered set of classifiers ,(2006)
Lucas J. Myslinski, Fact checking method and system ,(2012)