Semi-Supervised Fuzzy Clustering with Feature Discrimination

Semi-supervised clustering algorithms are increasingly employed for discovering hidden structure in data with partially labelled patterns. In order to make the clustering approach useful and acceptable to users, the information provided must be simple, natural and limited in number. To improve recog...

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Detalles Bibliográficos
Autores principales: Li, Longlong, Garibaldi, Jonathan M., He, Dongjian, Wang, Meili
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4556708/
https://www.ncbi.nlm.nih.gov/pubmed/26325272
http://dx.doi.org/10.1371/journal.pone.0131160

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4556708/
https://www.ncbi.nlm.nih.gov/pubmed/26325272
http://dx.doi.org/10.1371/journal.pone.0131160

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