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Identification of the isomers using principal component analysis (PCA) method
AIP Conference Proceedings, 2016In this work, we have carried out a detailed statistical analysis for experimental data of mass spectra from xylene isomers. Principle Component Analysis (PCA) was used to identify the isomers which cannot be distinguished using conventional statistical methods for interpretation of their mass spectra.
Kepceoglu, Abdullah +3 more
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The use of principal component analysis (PCA) to characterize beef
Meat Science, 2000Principal component analysis was performed to study the relationships between chemical, physical and sensory variables (n=18) measured on longissimus thoracis et lumborum of 79 young bulls from the following ethnic groups: hypertrophied Piemontese, normal Piemontese, Friesian, crossbred hypertrophied Piemontese×Friesian, Belgian Blue and White.
DESTEFANIS, Gianluigi +3 more
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Single Class Discrimination Using Principal Component Analysis (SCD‐PCA)
Quantitative Structure-Activity Relationships, 1991AbstractSingle Class Discrimination using Principal Component Analysis (SCD‐PCA) has been developed to discriminate an embedded data class. The embedded class is defined as the active class and the diffuse class, or classes as the inactives. Two basic methods are described.
Valerie S. Rose +2 more
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Social determinants of health and US cancer screening interventions: A systematic review
Ca-A Cancer Journal for Clinicians, 2023Ariella R Korn
exaly
Principal Component Analysis (PCA).
La Tunisie medicale, 2022Kamel, Ben Salem, Ahmed, Ben Abdelaziz
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The Affordable Care Act and access to care across the cancer control continuum: A review at 10 years
Ca-A Cancer Journal for Clinicians, 2020Jingxuan Zhao +2 more
exaly
Face recognition based on principal component analysis (PCA)
2022 4th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM), 2022Caihua Qiu, Feng Ding
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