Knowledge-based clustering : from data to information granules /

"This is must reading for researchers, professionals, and students interested in clustering, fuzzy clustering, unsupervised learning, neural networks, fuzzy sets, pattern recognition, and system modeling. With the author's emphasis on mastering the prerequisites, coupled with carefully con...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Pedrycz, Witold, 1953-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, N.J. : Wiley, ©2005.
Temas:
Soft computing.
Granular computing.
Fuzzy systems.
Informatique douce.
Calcul granulaire.
Systèmes flous.
COMPUTERS > Enterprise Applications > Business Intelligence Tools.
COMPUTERS > Intelligence (AI) & Semantics.
Fuzzy systems
Granular computing
Soft computing
Electrical and Electronics Engineering.
FACsci
ER > Internet > Book > Full text
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 1. Clustering and fuzzy clustering
  • 2. Computing with granular information : fuzzy sets and fuzzy relations
  • 3. Logic-oriented neurocomputing
  • 4. Conditional fuzzy clustering
  • 5. Clustering with partial supervision
  • 6. Principles of knowledge-based guidance in fuzzy clustering
  • 7. Collaborative clustering
  • 8. Directional clustering
  • 9. Fuzzy relational clustering
  • 10. Fuzzy clustering of heterogeneous patterns
  • 11. Hyperbox models of granular data : the Tchebyschev FCM
  • 12. Genetic tolerance fuzzy neural networks
  • 13. Granular prototyping
  • 14. Granular mappings
  • 15. Linguistic modeling.

Ejemplares similares