2013
DOI: 10.1016/j.sab.2013.05.003
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Independent component analysis classification of laser induced breakdown spectroscopy spectra

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Cited by 70 publications
(63 citation statements)
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“…[18][19][20][21][22] They can be more robust to matrix effects because they use most of the available information. Multivariate methods are much more computationally intensive than the univariate method.…”
Section: High-level Processingmentioning
confidence: 99%
“…[18][19][20][21][22] They can be more robust to matrix effects because they use most of the available information. Multivariate methods are much more computationally intensive than the univariate method.…”
Section: High-level Processingmentioning
confidence: 99%
“…A cluster analysis of the spectra based on an independent components analysis (ICA) (33,34) and chemical quantification obtained with a partial least-squares technique known as PLS2 (34)(35)(36) revealed that the soils observed during the first 90 sols at Gale crater follow a compositional trend between two major end members: a mafic component (cluster 1 or "mafic type"), and an alkali-, aluminum-, and silica-rich component (cluster 2 or "felsic type"). Cluster analysis reveals that two main groups of targets are indeed discriminated by their Si, Al, and Na components ( Fig.…”
Section: Soil Chemical Diversitymentioning
confidence: 99%
“…PLS-DA has also been applied to the classification of LIBS data [45,46]. In addition, one should also notice other multivariate methods of classification such as independent component analysis (ICA) [47], support vector machine (SVM) [48,49], artificial neural networks (ANN) [50], hierarchical cluster analysis (HCA) [50], soft independent modeling of class analogy (SIMCA) [51], and the method of the k-nearest neighbors (KNN) [52].…”
Section: Identification and Classificationmentioning
confidence: 99%