Classification and Multivariate Analysis for Complex Data Structures

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Bernard Fichet, Domenico Piccolo, Rosanna Verde, Maurizio Vichi
Springer Science & Business Media, Mar 4, 2011 - Mathematics - 473 pages
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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Contents

Part II Classification and Discrimination
72
Part III Data Mining
113
Part IV Robustness and Classification
182
Part V Categorical Data and Latent Class Approach
219
Part VI Latent Variables and Related Methods
290
Part VII Symbolic Multivalued and Conceptual Data Analysis
351
Part VIII Spatial Temporal Streaming and Functional Data Analysis
389
Part IX Bio and Health Science
445
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