Algorithms for Fuzzy Clustering Methods in c-Means Clustering with Applications /

The main subject of this book is the fuzzy c-means proposed by Dunn and Bezdek and their variations including recent studies. A main reason why we concentrate on fuzzy c-means is that most methodology and application studies in fuzzy clustering use fuzzy c-means, and hence fuzzy c-means should be co...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Miyamoto, Sadaaki (Autor), Ichihashi, Hidetomo (Autor), Honda, Katsuhiro (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Studies in Fuzziness and Soft Computing,
Temas:
Computer programming.
Engineering mathematics.
Engineering-Data processing.
Artificial intelligence.
Programming Techniques.
Mathematical and Computational Engineering Applications.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • BasicMethods for c-Means Clustering
  • Variations and Generalizations - I
  • Variations and Generalizations - II
  • Miscellanea
  • Application to Classifier Design
  • Fuzzy Clustering and Probabilistic PCA Model
  • Local Multivariate Analysis Based on Fuzzy Clustering
  • Extended Algorithms for Local Multivariate Analysis.

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