Centering and scaling in component analysis

By Rasmus Bro, Age K. Smilde. 2003

434 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Food Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/6d2c9d009cf6244d03e8f3d88da1d995519c6e66

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In Analytical Chemistry

In Food Science

In Statistics and Probability

Citations in the corpus

Numerical construction of Green's functions in high dimensional elliptic problems with variable coefficients and analysis of renewable energy data via sparse and separable approximations (2012, methodology): “Prior to model selection, and following some basic heuristics described in [25], we centered the time mode to ensure that ‘changes over time’, rather than ‘averages over time’, were emphasized.”
Four simultaneous component models for the analysis of multivariate time series from more than one subject to model intraindividual and interindividual differences (2003, methodology): “Furthermore, this type of scaling does not affect the form of the structural model (refer to Bro & Smilde, 2003; Harshman & Lundy, 1984b).”
Multivariate accelerated shelf‐life testing: a novel approach for determining the shelf‐life of foods (2006, background): “As this is an intrinsic characteristic of any scaling procedure [24], one should be careful in controlling the storage conditions and data acquisition in order to minimise these detrimental effects.”
Spectral reflectance at sub‐leaf scale including the spatial distribution discriminating NPK stress characteristics in barley using multiway partial least squares regression (2007, methodology): “Further information about the PLS and N-PLS can be found in Höskuldsson (2003), Bro and Smilde (2003), Bro (1996), Bro and Heimdal (1996) and Anderson and Bro (2000).”
Proposed minimum reporting standards for data analysis in metabolomics (2007, methodology): “…data to clean data for data processing Pre-treatment Transforming the clean data to make them ready for data processing (scaling, centering, etc) Bro and Smilde (2003) Processing The actual data analysis (PCA, PLS, ASCA, GP etc.) Post-processing Transforming the results from the processing for…”