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- Innovations in Fuzzy Clustering
Innovations in Fuzzy Clustering
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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.
Lieferbar in ca. 20-45 Arbeitstagen