Innovations in Fuzzy Clustering Theory and Applications /

• Κύριοι συγγραφείς: Sato-Ilic, Mika (Συγγραφέας), Jain, Lakhmi C. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.
• Σειρά: Studies in Fuzziness and Soft Computing, 205
• Θέματα: Mathematics.; Artificial intelligence.; Mathematical logic.; Applied mathematics.; Engineering mathematics.; Mathematical Logic and Foundations.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).

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...

Πίνακας περιεχομένων:

• 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.