Classification and multivariate analysis for complex data structures
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 adv...
保存先:
| 第一著者: | |
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| その他の著者: | , , |
| フォーマット: | Livre numérique |
| 言語: | Anglais |
| 出版事項: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| 版: | 1st ed. 2011. |
| シリーズ: | Studies in Classification, Data Analysis, and Knowledge Organization
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| オンライン･アクセス: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| 注記: |
Description d'après consultation du 11 février 2013 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Classification and multivariate analysis for complex data structures, Bernard Fichet, Domenico Piccolo, Rosanna Verde, Maurizio Vichi Editors, 2011, Heidelberg [etc.], Springer, 1 vol. (XIX-473 p.), Studies in classification, data analysis, and knowledge organization, 978-3-642-13311-4 • Classification and Multivariate Analysis for Complex Data Structures, Texte imprimé, 9783642133138 |
目次:
- 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