Innovations in Fuzzy Clustering: Theory and Applications (Studies in Fuzziness and Soft Computing, 205)
Sato-Ilic, Mika
ISBN 10: 3540343563 ISBN 13: 9783540343561
Editorial: Springer, 2006
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Descripción
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In. N° de ref. del artículo ria9783540343561_new
Sinopsis:
This book presents the most recent advances in fuzzy clustering techniques and their applications. The contents include Introduction to Fuzzy Clustering; Fuzzy Clustering based Principal Component Analysis; Fuzzy Clustering based Regression Analysis; Kernel based Fuzzy Clustering; Evaluation of Fuzzy Clustering; Self-Organized Fuzzy Clustering. This book is directed to the computer scientists, engineers, scientists, professors and students of engineering, science, computer science, business, management, avionics and related disciplines.
De la contraportada:
There is a great interest in clustering techniques due to the vast amount of data generated in every field including business, health, science, engineering, aerospace, management and so on. It is essential to extract useful information from the data. Clustering techniques are widely used in pattern recognition and related applications.
The research monograph presents the most recent advances in fuzzy clustering techniques and their applications. The following contents are included:
- Introduction to Fuzzy Clustering
- Fuzzy Clustering based Principal Component Analysis
- Fuzzy Clustering based Regression Analysis
- Kernel based Fuzzy Clustering
- Evaluation of Fuzzy Clustering
- Self-Organized Fuzzy Clustering
This book is directed to the computer scientists, engineers, scientists, professors and students of engineering, science, computer science, business, management, avionics and related disciplines.
"Sobre este título" puede pertenecer a otra edición de este libro.
Detalles bibliográficos
Título: Innovations in Fuzzy Clustering: Theory and ...
Editorial: Springer
Año de publicación: 2006
Encuadernación: Encuadernación de tapa dura
Condición: New
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Innovations in Fuzzy Clustering: Theory and Applications (Studies in Fuzziness and Soft Computing (205))
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Innovations in Fuzzy Clustering
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Springer Berlin Heidelberg, 2006
ISBN 10: 3540343563
ISBN 13: 9783540343561
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Latest research on fuzzy clustering and applicationsThis book presents the most recent advances in fuzzy clustering techniques and their applications. The contents include Introduction to Fuzzy Clustering Fuzzy Clustering based Principal Comp. Nº de ref. del artículo: 4888080
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Innovations in Fuzzy Clustering | Theory and Applications
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Buch. Condición: Neu. Innovations in Fuzzy Clustering | Theory and Applications | Mika Sato-Ilic | Buch | xiii | Englisch | 2006 | Springer-Verlag GmbH | EAN 9783540343561 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 102209948
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Innovations in Fuzzy Clustering
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Springer Berlin Heidelberg Okt 2006, 2006
ISBN 10: 3540343563
ISBN 13: 9783540343561
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents the most recent advances in fuzzy clustering techniques and their applications. The contents include Introduction to Fuzzy Clustering; Fuzzy Clustering based Principal Component Analysis; Fuzzy Clustering based Regression Analysis; Kernel based Fuzzy Clustering; Evaluation of Fuzzy Clustering; Self-Organized Fuzzy Clustering. This book is directed to the computer scientists, engineers, scientists, professors and students of engineering, science, computer science, business, management, avionics and related disciplines. 168 pp. Englisch. Nº de ref. del artículo: 9783540343561
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Innovations in Fuzzy Clustering : Theory and Applications
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Springer Berlin Heidelberg, 2006
ISBN 10: 3540343563
ISBN 13: 9783540343561
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Clustering has been around for many decades and located itself in a uniquepositionasafundamentalconceptualandalgorithmiclandmark of data analysis. Almost since the very inception of fuzzy sets, the role and potential of these information granules in revealing and describing structureindatawasfullyacknowledgedandappreciated.Asamatter of fact, with the rapid growth of volumes of digital information, the role of clustering becomes even more visible and critical. Furthermore given the anticipated human centricity of the majority of artifacts of digitaleraandacontinuousbuildupofmountainsofdata,onebecomes fully cognizant of the growing role and an enormous potential of fuzzy sets and granular computing in the design of intelligent systems. In therecentyearsclusteringhasundergoneasubstantialmetamorphosis. Frombeinganexclusivelydata drivenpursuit,ithastransformeditself into a vehicle whose data centricity has been substantially augmented by the incorporation of domain knowledge thus giving rise to the next generation of knowledge-oriented and collaborative clustering. Interestingly enough, fuzzy clustering exhibits a dominant role in many developments of the technology of fuzzy sets including fuzzy modeling, fuzzy control, data mining, pattern recognition, and image processing. When browsing through numerous papers on fuzzy m- eling we can witness an important trend of a substantial reliance on fuzzy clustering being regarded as the general development tool. The same central position of fuzzy clustering becomes visible in pattern classi ers and neurofuzzy systems. All in all, it becomes evident that further progress in fuzzy clustering is of vital relevance and bene t to the overall progress of the area of fuzzy sets and their applications. Nº de ref. del artículo: 9783540343561
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Innovations in Fuzzy Clustering
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Springer Berlin Heidelberg, Springer Berlin Heidelberg Okt 2006, 2006
ISBN 10: 3540343563
ISBN 13: 9783540343561
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Buch. Condición: Neu. Neuware -Clustering has been around for many decades and located itself in a uniquepositionasafundamentalconceptualandalgorithmiclandmark of data analysis. Almost since the very inception of fuzzy sets, the role and potential of these information granules in revealing and describing structureindatawasfullyacknowledgedandappreciated.Asamatter of fact, with the rapid growth of volumes of digital information, the role of clustering becomes even more visible and critical. Furthermore given the anticipated human centricity of the majority of artifacts of digitaleraandacontinuousbuildupofmountainsofdata,onebecomes fully cognizant of the growing role and an enormous potential of fuzzy sets and granular computing in the design of intelligent systems. In therecentyearsclusteringhasundergoneasubstantialmetamorphosis. Frombeinganexclusivelydata drivenpursuit,ithastransformeditself into a vehicle whose data centricity has been substantially augmented by the incorporation of domain knowledge thus giving rise to the next generation of knowledge-oriented and collaborative clustering. Interestingly enough, fuzzy clustering exhibits a dominant role in many developments of the technology of fuzzy sets including fuzzy modeling, fuzzy control, data mining, pattern recognition, and image processing. When browsing through numerous papers on fuzzy m- eling we can witness an important trend of a substantial reliance on fuzzy clustering being regarded as the general development tool. The same central position of fuzzy clustering becomes visible in pattern classi ers and neurofuzzy systems. All in all, it becomes evident that further progress in fuzzy clustering is of vital relevance and bene t to the overall progress of the area of fuzzy sets and their applications.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 168 pp. Englisch. Nº de ref. del artículo: 9783540343561
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