Cluster Analysis for Data Mining and System Identification

• Main Authors: Abonyi, János (Author), Feil, Balázs (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Basel : Birkhäuser Basel, 2007.
• Subjects: Mathematics.; Applied mathematics.; Engineering mathematics.; Statistics.; Applications of Mathematics.; Statistical Theory and Methods.; Statistics and Computing/Statistics Programs.; Statistics for Business/Economics/Mathematical Finance/Insurance.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.; Statistics for Life Sciences, Medicine, Health Sciences.

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...

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.