Evaluation of the predictive power of biplot axes to automate the construction and layout of biplots based on the accuracy of direct readings from common outputs of multivariate analyses: 1. application to principal component analysis-Reference-Cited by-同舟云学术

Evaluation of the predictive power of biplot axes to automate the construction and layout of biplots based on the accuracy of direct readings from common outputs of multivariate analyses: 1. application to principal component analysis

Published:2012-04-10 Issue:5 Volume:26 Page:180-190
ISSN:0886-9383
Container-title:Journal of Chemometrics
language:en
Short-container-title:J. Chemometrics

Author:

Rui Alves M.¹

Affiliation:

1. REQUIMTE/ ESTG/ Instituto Politécnico de Viana do Castelo; Avenida do Atlântico, Apartado 574; Viana do Castelo; Portugal

Publisher

Wiley

Subject

Applied Mathematics,Analytical Chemistry

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cem.2433/fullpdf

Reference45 articles.

1. The biplot graphic display of matrices with application to principal component analysis;Gabriel;Biometrika,1971

2. The use of biplots in interpreting variety by environment interactions;Kempton;J. Agric. Sci.,1984

3. Analysis of meteorological data by means of canonical decomposition and biplots;Gabriel;J. Appl. Meteorol.,1972

4. The biplot as a diagnostic tool for models of two-way tables;Bradu;Technometrics,1978

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing storage stability of smoke-flavored horse mackerel filets using natural extracts as preservatives;Frontiers in Sustainable Food Systems;2023-11-23

2. The Impact of Goat Milk Pretreatment with Pulsed Electric Fields on Cheese Quality;Foods;2023-11-21

3. Fresh-Cut Bell Peppers in Modified Atmosphere Packaging: Improving Shelf Life to Answer Food Security Concerns;Molecules;2020-05-16

4. Variable contribution identification and visualization in multivariate statistical process monitoring;Chemometrics and Intelligent Laboratory Systems;2020-01

5. Metabolomics in Stem Cell Biology Research;Computational Stem Cell Biology;2019