Journal•ISSN: 0169-7439
Chemometrics and Intelligent Laboratory Systems
Elsevier BV
About: Chemometrics and Intelligent Laboratory Systems is an academic journal published by Elsevier BV. The journal publishes majorly in the area(s): Partial least squares regression & Principal component analysis. It has an ISSN identifier of 0169-7439. Over the lifetime, 4499 publications have been published receiving 174573 citations.
Topics: Partial least squares regression, Principal component analysis, Feature selection, Chemometrics, Computer science
Papers published on a yearly basis
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TL;DR: Principal Component Analysis is a multivariate exploratory analysis method useful to separate systematic variation from noise and to define a space of reduced dimensions that preserve noise.
8,660 citations
TL;DR: PLS-regression (PLSR) as mentioned in this paper is the PLS approach in its simplest, and in chemistry and technology, most used form (two-block predictive PLS) is a method for relating two data matrices, X and Y, by a linear multivariate model.
7,861 citations
TL;DR: The multi-way decomposition method PARAFAC is a generalization of PCA to higher order arrays, but some of the characteristics of the method are quite different from the ordinary two-way case.
2,468 citations
TL;DR: The Mahalanobis distance, in the original and principal component (PC) space, will be examined and interpreted in relation with the Euclidean distance (ED).
1,802 citations
TL;DR: De Jong et al. as discussed by the authors proposed SIMPLS, an alternative approach to PLS regression, which calculates the PLS factors directly as linear combinations of the original variables, while obeying certain orthogonality and normalization restrictions.
1,789 citations