Sliding PCA fuzzy clustering algorithm
This paper proposes a new robust approach to nonlinear clustering based on the Principal Component Analysis (PCA) approach. A robust c-means partition is derived by using the natural PCA noise-rejection mechanism and the nonlinearity captured by a sliding process of the clusters prototype. A non-lin...
| Autor principal: | |
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| Outros Autores: | , |
| Formato: | conferenceObject |
| Idioma: | eng |
| Publicado em: |
2014
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10198/11101 |
| País: | Portugal |
| Oai: | oai:bibliotecadigital.ipb.pt:10198/11101 |