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Conference Paper: Clustering with mean field annealing and unsupervised learning

TitleClustering with mean field annealing and unsupervised learning
Authors
Yu, Yizhou
Issue Date1993
Citation
Proceedings of the 1993 IEEE Region 10 Conference on Computer, Communication, Control aand Power Engineering, Beijing, China, 19-21 October 1993. Part 3 (of 5) How to Cite?
AbstractWhen neural networks are used to solve a clustering problem, there is often no precise measure. But in such fields as pattern recognition, a clustering problem is often with an objective function. In this paper, MFT neural nets are taken to tackle such a problem. Even when the number of clusters is unknown, an unsupervised neural network with gradient descent can evaluate it. The experimental results is satisfactory.
Persistent Identifierhttp://hdl.handle.net/10722/151798

 

DC FieldValueLanguage
dc.contributor.authorYu, Yizhouen_US
dc.date.accessioned2012-06-26T06:29:41Z-
dc.date.available2012-06-26T06:29:41Z-
dc.date.issued1993en_US
dc.identifier.citationProceedings of the 1993 IEEE Region 10 Conference on Computer, Communication, Control aand Power Engineering, Beijing, China, 19-21 October 1993. Part 3 (of 5)-
dc.identifier.urihttp://hdl.handle.net/10722/151798-
dc.description.abstractWhen neural networks are used to solve a clustering problem, there is often no precise measure. But in such fields as pattern recognition, a clustering problem is often with an objective function. In this paper, MFT neural nets are taken to tackle such a problem. Even when the number of clusters is unknown, an unsupervised neural network with gradient descent can evaluate it. The experimental results is satisfactory.en_US
dc.languageengen_US
dc.relation.ispartofIEEE Region 10 Conference on Computer, Communication, Control aand Power Engineering-
dc.titleClustering with mean field annealing and unsupervised learningen_US
dc.typeConference_Paperen_US
dc.identifier.emailYu, Yizhou:yzyu@cs.hku.hken_US
dc.identifier.authorityYu, Yizhou=rp01415en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0027721319en_US
dc.identifier.scopusauthoridYu, Yizhou=8554163500en_US

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