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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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| Publicado en: | PLoS One |
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| Autores principales: | , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Public Library of Science
2015
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4556708/ https://ncbi.nlm.nih.gov/pubmed/26325272 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0131160 |
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