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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Bibliographic Details
Main Authors: Abonyi, János, Feil, Balázs (Author)
Format: eBook
Language:English
Published: Basel Birkhäuser 2007, 2007
Edition:1st ed. 2007
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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