2016
DOI: 10.3788/cjl201643.1211001
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Origins of Nephrite by Laser-Induced Breakdown Spectroscopy Using Partial Least Squares Discriminant Analysis

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“…[19][20][21] Furthermore, the application of various multivariate models such as linear discriminant analysis (LDA), partial least squares (PLS), and their respective improved methods, as well as support vector machine (SVM), has become commonplace in the eld of gemology. [22][23][24][25][26] However, previous studies on nephrite jade discrimination have oen been constrained by less than 200 samples; such a number is too small for modeling. As the dataset employed for modeling typically does not exceed 500 entries, integrated methods are seldom employed.…”
Section: Introductionmentioning
confidence: 99%
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“…[19][20][21] Furthermore, the application of various multivariate models such as linear discriminant analysis (LDA), partial least squares (PLS), and their respective improved methods, as well as support vector machine (SVM), has become commonplace in the eld of gemology. [22][23][24][25][26] However, previous studies on nephrite jade discrimination have oen been constrained by less than 200 samples; such a number is too small for modeling. As the dataset employed for modeling typically does not exceed 500 entries, integrated methods are seldom employed.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, the application of various multivariate models such as linear discriminant analysis (LDA), partial least squares (PLS), and their respective improved methods, as well as support vector machine (SVM), has become commonplace in the field of gemology. 22–26…”
Section: Introductionmentioning
confidence: 99%