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Grade Models and Methods for Data Analysis : With Applications for the Analysis of Data Populations - Teresa Kowalczyk

Grade Models and Methods for Data Analysis

With Applications for the Analysis of Data Populations

By: Teresa Kowalczyk (Editor), Elzbieta Pleszczynska (Editor), Frederick Ruland (Editor)

Hardcover Published: 16th April 2004
ISBN: 9783540211204
Number Of Pages: 477

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This book provides a new grade methodology for intelligent data analysis. It introduces a specific infrastructure of concepts needed to describe data analysis models and methods. This monograph is the only book presently available covering both the theory and application of grade data analysis and therefore aiming both at researchers, students, as well as applied practitioners. The text is richly illustrated through examples and case studies and includes a short introduction to software implementing grade methods, which can be downloaded from the editors.

Grade data analysis : a first lookp. 1
The grade approachp. 13
Univariate Lilliputian model Ip. 51
Univariate Lilliputian model IIp. 91
Asymmetry and the inverse concentration setp. 139
Discretization and regularityp. 167
Preliminary concepts of bivariate dependencep. 185
Dependence Lilliputian modelp. 217
Grade correspondence analysis and outlier detectionp. 267
Cluster analysis based on GCAp. 297
Regularity and the number of clustersp. 325
Grade approach to the analysis of finite data matricesp. 339
Inequality measures for multivariate distributionsp. 385
Case studies with multivariate datap. 425
The GradeState programp. 455
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9783540211204
ISBN-10: 3540211209
Series: Studies in Fuzziness and Soft Computing
Audience: Tertiary; University or College
Format: Hardcover
Language: English
Number Of Pages: 477
Published: 16th April 2004
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: DE
Dimensions (cm): 23.5 x 15.5  x 3.18
Weight (kg): 1.93