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...

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Détails bibliographiques
Cote:Libro Electrónico
Collectivité auteur: SpringerLink (Online service)
Autres auteurs: Fichet, Bernard (Éditeur intellectuel), Piccolo, Domenico (Éditeur intellectuel), Verde, Rosanna (Éditeur intellectuel), Vichi, Maurizio (Éditeur intellectuel)
Format: Électronique eBook
Langue:Inglés
Publié: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
Édition:1st ed. 2011.
Collection:Studies in Classification, Data Analysis, and Knowledge Organization,
Sujets:
Statistics .
Computer science > Mathematics.
Mathematical statistics.
Data structures (Computer science).
Information theory.
Probabilities.
Multimedia systems.
Statistical Theory and Methods.
Probability and Statistics in Computer Science.
Data Structures and Information Theory.
Probability Theory.
Multimedia Information Systems.
Accès en ligne:Texto Completo
Table des matières:
  • 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.

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