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期刊名称: Journal of Chemometrics
Volume:30    Issue:8        Page:420-429
ISSN:0886-9383

Analysis of multiblock datasets using ComDim: Overview and extension to the analysis of (K + 1) datasets期刊论文

作者: El Ghaziri Angélina Cariou Véronique Rutledge Douglas N Qannari El Mostafa
DOI:10.1002/cem.2810

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页码: 420-429
被引频次: 5
出版者: WILEY,Wiley Subscription Services, Inc,Wiley
期刊名称: Journal of Chemometrics
ISSN: 0886-9383
卷期: Volume:30    Issue:8
语言: English
摘要: ComDim analysis was designed to assess the relationships between individuals and variables within a multiblock setting where several variables, organized in blocks, are measured on the same individuals. An overview of this method is presented together with some of its properties. Furthermore, we discuss a new extension of the method of analysis to the case of (K+1) datasets. More precisely, the aim is to explore the relationships between a response dataset and K other datasets. An illustration of this latter strategy of analysis on the basis of a case study involving Time Domain ‐ Nuclear Magnetic Resonance data is outlined and the outcomes are compared with those of Multiblock Partial Least Squares regression. An overview of ComDim analysis is presented together with some of its properties. Furthermore, a new extension of this method to the case of K+1 datasets is discussed. More precisely, the aim is to explore the relationships between a response dataset and K other datasets. An illustration of this latter strategy of analysis on the basis of Time Domain ‐ Nuclear Magnetic Resonance data is outlined and the outcomes are compared to those of Multiblock PLS regression.
相关主题: multiblock datasets, Hierarchical Principal Component Analysis, ComDim, multiblock partial least squares regression, WEIGHTS ANALYSIS, CHEMISTRY, ANALYTICAL, STATISTICS & PROBABILITY, MODEL, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, INSTRUMENTS & INSTRUMENTATION, MATHEMATICS, INTERDISCIPLINARY APPLICATIONS, PLS, COMMON COMPONENTS, AUTOMATION & CONTROL SYSTEMS, Statistics,

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