When Prof. Zadeh introduced the concept of fuzzy sets that produced the idea of allowing to have membership functions to all clusters in 1965, his main objective was to set up a formal framework for the representation and management of vague and uncertain data. Today, besides the possibility to handle uncertainties within data, fuzzy data analysis allows us to learn knowledge-based representation of the information subsistent in the data. When writing this monograph, our intention was not only to give a self-contained and methodological introduction to fuzzy neighborhood-based cluster analysis with its areas of applications, but also to provide a systematic description of novel clustering methods. We think that the book will be useful for engineers, statisticians, and computer scientists in both teaching and research, who deal with data analysis, pattern recognition, bioinformatics, or who take into consideration the application of fuzzy neighborhood-based clustering methods in their area of work.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -When Prof. Zadeh introduced the concept of fuzzy sets that produced the idea of allowing to have membership functions to all clusters in 1965, his main objective was to set up a formal framework for the representation and management of vague and uncertain data. Today, besides the possibility to handle uncertainties within data, fuzzy data analysis allows us to learn knowledge-based representation of the information subsistent in the data. When writing this monograph, our intention was not only to give a self-contained and methodological introduction to fuzzy neighborhood-based cluster analysis with its areas of applications, but also to provide a systematic description of novel clustering methods. We think that the book will be useful for engineers, statisticians, and computer scientists in both teaching and research, who deal with data analysis, pattern recognition, bioinformatics, or who take into consideration the application of fuzzy neighborhood-based clustering methods in their area of work. 144 pp. Englisch. N° de réf. du vendeur 9783846540251
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ulutagay GozdeGoezde Ulutagay, PhD: Department of Industrial Engineering, Izmir University, Izmir, TURKEY. Efendi Nasibov, PhD, DrSc: Department of Computer Science, Dokuz Eylul University, Izmir, TURKEY.When Prof. Zadeh introduce. N° de réf. du vendeur 5497728
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - When Prof. Zadeh introduced the concept of fuzzy sets that produced the idea of allowing to have membership functions to all clusters in 1965, his main objective was to set up a formal framework for the representation and management of vague and uncertain data. Today, besides the possibility to handle uncertainties within data, fuzzy data analysis allows us to learn knowledge-based representation of the information subsistent in the data. When writing this monograph, our intention was not only to give a self-contained and methodological introduction to fuzzy neighborhood-based cluster analysis with its areas of applications, but also to provide a systematic description of novel clustering methods. We think that the book will be useful for engineers, statisticians, and computer scientists in both teaching and research, who deal with data analysis, pattern recognition, bioinformatics, or who take into consideration the application of fuzzy neighborhood-based clustering methods in their area of work. N° de réf. du vendeur 9783846540251
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -When Prof. Zadeh introduced the concept of fuzzy sets that produced the idea of allowing to have membership functions to all clusters in 1965, his main objective was to set up a formal framework for the representation and management of vague and uncertain data. Today, besides the possibility to handle uncertainties within data, fuzzy data analysis allows us to learn knowledge-based representation of the information subsistent in the data. When writing this monograph, our intention was not only to give a self-contained and methodological introduction to fuzzy neighborhood-based cluster analysis with its areas of applications, but also to provide a systematic description of novel clustering methods. We think that the book will be useful for engineers, statisticians, and computer scientists in both teaching and research, who deal with data analysis, pattern recognition, bioinformatics, or who take into consideration the application of fuzzy neighborhood-based clustering methods in their area of work.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 144 pp. Englisch. N° de réf. du vendeur 9783846540251
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Fuzzy Neighborhood-Based Clustering | with Recent Theory and Applications | Gozde Ulutagay (u. a.) | Taschenbuch | 144 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783846540251 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 106736387
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. 144 pages. 8.66x5.91x0.33 inches. In Stock. N° de réf. du vendeur __3846540250
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Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
paperback. Etat : New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book. N° de réf. du vendeur ERICA82938465402506
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