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题名Online variational learning of generalized Dirichlet mixture models with feature selection
作者
发表日期2014-02-27
发表期刊Neurocomputing
ISSN/eISSN0925-2312
卷号126页码:166-179
摘要

Three frequently recurring themes in machine learning, data mining and related disciplines are clustering, feature selection and online learning. Motivated by the importance of these themes which are generally interrelated, we propose a statistical framework for simultaneous online clustering and feature selection using finite generalized Dirichlet mixture model. The proposed framework allows to control overfitting by, dynamically and simultaneously, adjusting the mixture model's parameters, number of components and the features weights. We describe a principled variational approach for learning the parameters of the proposed statistical model. Results on both synthetic data and real applications involving online documents and images clustering show the merits of the proposed approach. © 2013 Elsevier B.V.

关键词Documents clustering Feature selection Generalized Dirichlet Mixture models Online learning Variational inference
DOI10.1016/j.neucom.2012.09.047
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收录类别SCIE
语种英语English
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000328527400017
Scopus入藏号2-s2.0-84887607230
引用统计
被引频次:14[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/13286
专题个人在本单位外知识产出
理工科技学院
通讯作者Bouguila, Nizar
作者单位
1.Department of Electrical and Computer Engineering,Concordia University,Montreal, QC, H3G 1T7,Canada
2.The Concordia Institute for Information Systems Engineering (CIISE),Concordia University,Montreal, QC, H3G 1T7,Canada
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GB/T 7714
Fan, Wentao,Bouguila, Nizar. Online variational learning of generalized Dirichlet mixture models with feature selection[J]. Neurocomputing, 2014, 126: 166-179.
APA Fan, Wentao, & Bouguila, Nizar. (2014). Online variational learning of generalized Dirichlet mixture models with feature selection. Neurocomputing, 126, 166-179.
MLA Fan, Wentao,et al."Online variational learning of generalized Dirichlet mixture models with feature selection". Neurocomputing 126(2014): 166-179.
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