Identifying local and regional groundwater in basins: chemical and stable isotopic attributes of multivariate classification of hydrochemical data, the Lower Virgin River Basin, Nevada, Arizona and Utah, U.S.A

2018 ◽  
Vol 54 (4) ◽  
pp. 370-391 ◽  
Author(s):  
Joseph Asante ◽  
David K. Kreamer
Keyword(s):  
River Basin ◽  
Multivariate Classification ◽  
Hydrochemical Data ◽  
Stable Isotopic ◽  
Virgin River ◽  
Regional Groundwater

Multivariate classification of alcoholics by means of the MMPI.

1969 ◽  
Vol 74 (6) ◽  
pp. 661-669 ◽  
Author(s):  
Steven G. Goldstein ◽  
James D. Linden
Keyword(s):  
Multivariate Classification

scholarly journals High-pass filtering artifacts in multivariate classification of neural time series data

2021 ◽  
Vol 352 ◽  
pp. 109080
Author(s):  
Joram van Driel ◽  
Christian N.L. Olivers ◽  
Johannes J. Fahrenfort
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Series Data ◽  
Multivariate Classification ◽  
High Pass

Fast-HPLC Fingerprinting to Discriminate Olive Oil from Other Edible Vegetable Oils by Multivariate Classification Methods

2017 ◽  
Vol 100 (2) ◽  
pp. 345-350 ◽  
Author(s):  
Ana M Jiménez-Carvelo ◽  
Antonio González-Casado ◽  
Estefanía Pérez-Castaño ◽  
Luis Cuadros-Rodríguez
Keyword(s):  
Olive Oil ◽  
Vegetable Oils ◽  
Edible Oils ◽  
Support Vector ◽  
Classification Methods ◽  
Multivariate Classification ◽  
Chromatographic Fingerprint ◽  
K Nearest Neighbors ◽  
Pls Discriminant Analysis

Abstract A new analytical method for the differentiation of olive oil from other vegetable oils using reversed-phaseLC and applying chemometric techniques was developed. A 3 cm short column was used to obtain the chromatographic fingerprint of the methyl-transesterified fraction of each vegetable oil. The chromatographic analysis tookonly 4 min. The multivariate classification methods used were k-nearest neighbors, partial least-squares (PLS) discriminant analysis, one-class PLS, support vector machine classification, and soft independent modeling of class analogies. The discrimination of olive oil from other vegetable edible oils was evaluated by several classification quality metrics. Several strategies for the classification of the olive oil wereused: one input-class, two input-class, and pseudo two input-class.

scholarly journals Multivariate classification based on chemical and stable isotopic profiles in sourcing the origin of marijuana samples seized in Brazil

2007 ◽  
Vol 18 (1) ◽  
pp. 205-214 ◽  
Author(s):  
Elisa K. Shibuya ◽  
Jorge E. S. Sarkis ◽  
Osvaldo Negrini-Neto ◽  
Jean P. H. B. Ometto
Keyword(s):  
Multivariate Classification ◽  
Stable Isotopic
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