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...
Corporate Author: | |
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Other Authors: | , , , |
Format: | Electronic eBook |
Language: | English |
Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2011.
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Series: | Studies in Classification, Data Analysis, and Knowledge Organization,
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Subjects: | |
Online Access: | Full Text via HEAL-Link |
Table of Contents:
- 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.