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Cluster Analysis for Data Mining and System Identification

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The aim of this book is to illustrate that advanced fuzzy clustering algorithms can be used not only for partitioning of the data. It can also be used for visualization, regression, classification and time-series analysis, hence fuzzy cluster analysis is a good approach to solve complex data mining and system identification problems. This book is oriented to undergraduate and postgraduate and is well suited for teaching purposes.

Author(s): Janos Abonyi, Balazs Feil
Edition: 1
Publisher: Birkhäuser Basel
Year: 2007

Language: English
Pages: 323