Cluster Analysis for Data Mining and System Identification

This book presents new approaches to data mining and system identification. Algorithms that can be used for the clustering of data have been overviewed. New techniques and tools are presented for the clustering, classification, regression and visualization of complex datasets. Special attention is g...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Abonyi, János (Autor), Feil, Balázs (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Basel : Birkhäuser Basel : Imprint: Birkhäuser, 2007.
Edición:1st ed. 2007.
Temas:
Mathematics.
Statistics .
Mathematical statistics-Data processing.
Biometry.
Applications of Mathematics.
Statistical Theory and Methods.
Statistics and Computing.
Statistics in Business, Management, Economics, Finance, Insurance.
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Biostatistics.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Classical Fuzzy Cluster Analysis
  • Visualization of the Clustering Results
  • Clustering for Fuzzy Model Identification - Regression
  • Fuzzy Clustering for System Identification
  • Fuzzy Model based Classifiers
  • Segmentation of Multivariate Time-series.

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