Innovations in Fuzzy Clustering: Theory and Applications: 205 - Brossura

Libro 32 di 183: Studies in Fuzziness and Soft Computing

Sato-Ilic, Mika

 
9783642070723: Innovations in Fuzzy Clustering: Theory and Applications: 205
Brossura
ISBN 10: 3642070728 ISBN 13: 9783642070723
Casa editrice: Springer, 2010

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Dalla quarta di copertina

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer
Data di pubblicazione
2010
Lingua
Inglese
ISBN 10 
3642070728
ISBN 13 
9783642070723
Rilegatura
Copertina flessibile
Numero di pagine
168
Contatto del produttore
non disponibile
Persona responsabile
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
Germania

Altre edizioni note dello stesso titolo

9783540343561: Innovations in Fuzzy Clustering: Theory And Applications: 205

Edizione in evidenza

ISBN 10:  3540343563 ISBN 13:  9783540343561
Casa editrice: Springer-Verlag New York Inc, 2006
Rilegato