Cluster Analysis for Data Mining and System Identification

Author:   János Abonyi ,  Balázs Feil
Publisher:   Birkhauser Verlag AG
Edition:   2007 ed.
ISBN:  

9783764379872


Pages:   306
Publication Date:   22 June 2007
Format:   Hardback
Availability:   In Print   Availability explained
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Cluster Analysis for Data Mining and System Identification


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Overview

Dataclusteringisacommontechniqueforstatisticaldataanalysis,whichisusedin many ?elds, including machine learning, data mining, pattern recognition, image analysis and bioinformatics. Clustering is the classi?cation of similar objects into di?erent groups, or more precisely, the partitioning of a data set into subsets (clusters), so that the data in each subset (ideally) share some common trait – often proximity according to some de?ned distance measure. The aim of this book is to illustrate that advanced fuzzy clustering algorithms can be used not only for partitioning of the data, but it can be used for visuali- tion,regression,classi?cationandtime-seriesanalysis,hence fuzzy cluster analysis is a good approach to solve complex data mining and system identi?cation pr- lems. Overview In the last decade the amount of the stored data has rapidly increased related to almost all areas of life. The most recent survey was given by Berkeley University of California about the amount of data. According to that, data produced in 2002 and stored in pressed media, ?lms and electronics devices only are about 5 - abytes. For comparison, if all the 17 million volumes of Library of Congress of the UnitedStatesofAmericaweredigitalized,itwouldbeabout136terabytes. Hence, 5 exabytes is about 37,000 Library of Congress. If this data mass is projected into 6. 3 billion inhabitants of the Earth, then it roughly means that each contem- rary generates 800 megabytes of data every year. It is interesting to compare this amount with Shakespeare’s life-work, which can be stored even in 5 megabytes.

Full Product Details

Author:   János Abonyi ,  Balázs Feil
Publisher:   Birkhauser Verlag AG
Imprint:   Birkhauser Verlag AG
Edition:   2007 ed.
Dimensions:   Width: 21.00cm , Height: 1.90cm , Length: 29.70cm
Weight:   1.400kg
ISBN:  

9783764379872


ISBN 10:   3764379871
Pages:   306
Publication Date:   22 June 2007
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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.

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