Title Statements
- Full title :Data fusion methodology and applications / edited by Marina Cocchi ; series editors, Beata Walczak, Lutgarde Buydens.
Edition Statements
- Publication Date:2019
Publication Statements
- Publisher(s):Elsevier
- Place of Publication:Amsterdam, Netherlands
- Language:eng
- Publication Date:2019
The Physical Object
- Description:1 online resource (xii, 383 pages :) : illustrations.
Edition Identifiers
- ISBN:9780444639844, 0444639845
- oclc:on1340056208
- LC Classification:TK7872.D48
- Dewey Decimal:681.2
Table of Contents
Introduction : Ways and Means to Deal With Data From Multiple Sources / Marina Cocchi -- A Framework for Low-Level Data Fusion / Age K. Smilde and Iven Van Mechelen -- General Framing of Low-, Mid-, and High-Level Data Fusion With Examples in the Life Sciences / Agnieszka Smolinska, Jasper Engel, Ewa Szymanska, Lutgarde Buydens, and Lionel Blanchet -- Numerical Optimization-Based Algorithms for Data Fusion / N. Vervliet and L. De Lathauwer -- Recent Advances in High-Level Fusion Methods to Classify Multiple Analytical Chemical Data / D. Ballabio, R. Todeschini, and V. Consonni -- The Sequential and Orthogonalized PLS Regression for Multiblock Regression : Theory, Examples, and Extensions / Alessandra Biancolillo and Tormod Næs -- ComDim Methods for the Analysis of Multiblock Data in a Data Fusion Perspective / V. Cariou, D. Jouan-Rimbaud Bouveresse, E.M. Qannari, and D.N. Rutledge -- Data Fusion by Multivariate Curve Resolution / Anna de Juan and R. Tauler -- Dealing With Data Heterogeneity in a Data Fusion Perspective : Models, Methodologies, and Algorithms / Federica Mandreoli and Manuela Montangero -- Data Fusion Strategies in Food Analysis / Alessandra Biancolillo, Ricard Boqu…
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