9783642133114-3642133118-Classification and Multivariate Analysis for Complex Data Structures (Studies in Classification, Data Analysis, and Knowledge Organization)

Classification and Multivariate Analysis for Complex Data Structures (Studies in Classification, Data Analysis, and Knowledge Organization)

ISBN-13: 9783642133114
ISBN-10: 3642133118
Edition: 2011
Author: Maurizio Vichi, Rosanna Verde, Bernard Fichet, Domenico Piccolo
Publication date: 2011
Publisher: Springer
Format: Paperback 492 pages
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Book details

ISBN-13: 9783642133114
ISBN-10: 3642133118
Edition: 2011
Author: Maurizio Vichi, Rosanna Verde, Bernard Fichet, Domenico Piccolo
Publication date: 2011
Publisher: Springer
Format: Paperback 492 pages

Summary

Classification and Multivariate Analysis for Complex Data Structures (Studies in Classification, Data Analysis, and Knowledge Organization) (ISBN-13: 9783642133114 and ISBN-10: 3642133118), written by authors Maurizio Vichi, Rosanna Verde, Bernard Fichet, Domenico Piccolo, was published by Springer in 2011. With an overall rating of 3.5 stars, it's a notable title among other books. You can easily purchase or rent Classification and Multivariate Analysis for Complex Data Structures (Studies in Classification, Data Analysis, and Knowledge Organization) (Paperback) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

The growing capabilities in generating and collecting data has risen an urgent need of new techniques and tools in order to analyze, classify and summarize statistical information, as well as to discover and characterize trends, and to automatically bag anomalies. This volume provides the latest advances in data analysis methods for multidimensional data which can present a complex structure: The book offers a selection of papers presented at the first Joint Meeting of the Société Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society. Special attention is paid to new methodological contributions from both the theoretical and the applicative point of views, in the fields of Clustering, Classification, Time Series Analysis, Multidimensional Data Analysis, Knowledge Discovery from Large Datasets, Spatial Statistics.
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