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＜電子ブック＞
Classification and Multivariate Analysis for Complex Data Structures / edited by Bernard Fichet, Domenico Piccolo, Rosanna Verde, Maurizio Vichi
(Studies in Classification, Data Analysis, and Knowledge Organization. ISSN:21983321)

版	1st ed. 2011.
出版者	(Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年	2011
大きさ	XIX, 473 p. 110 illus., 34 illus. in color : online resource
著者標目	Fichet, Bernard editor Piccolo, Domenico editor Verde, Rosanna editor Vichi, Maurizio editor SpringerLink (Online service)
件　名	LCSH:Statistics  LCSH:Computer science—Mathematics LCSH:Mathematical statistics LCSH:Data structures (Computer science) LCSH:Information theory LCSH:Probabilities LCSH:Multimedia systems FREE:Statistical Theory and Methods FREE:Probability and Statistics in Computer Science FREE:Data Structures and Information Theory FREE:Probability Theory FREE:Multimedia Information Systems
一般注記	Key Notes -- Classification and Discrimination -- Data Mining -- Robustness and Classification -- Categorical Data and Latent Class Approach -- Latent Variables and Related Methods -- Symbolic, Multivalued and Conceptual Data Analysis -- Spatial, Temporal, Streaming and Functional Data Analysis -- Bio and Health Science 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 HTTP:URL=https://doi.org/10.1007/978-3-642-13312-1

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