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Locality preserving partial least squares discriminant analysis for face recognition
Published 2022-02-01“…We propose a locality preserving partial least squares discriminant analysis (LPPLSDA) which adds a locality preserving feature to the conventional partial least squares discriminant analysis(PLS-DA). …”
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Controlling factors of the metallogenic intensity in Han–Xing-type skarn iron deposits: insights from trace elements in magmatic magnetite
Published 2025-07-01“…Through partial least squares discriminant analysis (PLS-DA) and orthogonal partial least squares discriminant analysis (OPLS-DA), it has been found that magnetite in the Kuangshan complex is enriched in Ti, Si, Cu, and Mn but depleted in V, Cr, Ni, Co, Ga, Al, and Mg. …”
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Accelerometry-Based Digital Gait Characteristics for Classification of Parkinson's Disease: What Counts?
Published 2020-01-01Subjects: Get full text
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Application of Partial Least Squares-Discriminate Analysis Model Based on Water Chemical Compositions in Identifying Water Inrush Sources from Multiple Aquifers in Mines
Published 2021-01-01“…Quick and accurate identification of mine water inrush sources is of great significance to preventing mine water hazards. This paper combined partial least squares-discriminate analysis (PLS-DA) with inrush water chemical composition to identify the source of water inrush from multiple aquifers in mines. …”
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Classification of Mass Spectral Data to Assist in the Identification of Novel Synthetic Cannabinoids
Published 2024-09-01Subjects: Get full text
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Identification, Geographical Traceability, and Thermal Oxidation and Photodegradation Studies of Camellia Oil Based on Raman Spectroscopy
Published 2025-06-01Subjects: Get full text
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Short-Wave Infrared Hyperspectral Image-Based Quality Grading of Dried Laver (<i>Pyropia</i> spp.)
Published 2025-02-01“…Spectral signatures were analyzed using partial least-squares discriminant analysis (PLS-DA) to correlate the spectral data with three primary quality index values. …”
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Study on the effects of granularity of paprika on physicochemical properties and volatile flavor compounds of chili oil
Published 2023-12-01Subjects: Get full text
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Physicochemical indexes and flavor quality analysis of 4 commercial vinegars
Published 2025-03-01“…Taking 4 commercial vinegars (samples LV, ZV, SV, and BV) as the research objects, the sensory evaluation, basic physicochemical indexes, volatile flavor compounds, and non-volatile compounds were analyzed, cluster analysis (CA) and partial least squares-discriminant analysis (PLS-DA) were carried out based on detection results, and the differential flavor substances (variable importance in the projection (VIP) values>1) were determined. …”
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Quality analysis of fermented wine with different varieties of fresh jujubes
Published 2025-06-01“…Based on the volatile flavor substances, different wine samples were analyzed by partial least squares-discriminant analysis (PLS-DA). …”
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Smart classification of organic and inorganic pineapple juice using dual NIR spectrometers combined with chemometric techniques
Published 2024-12-01“…Eighty-four pineapple juice samples were analyzed with preprocessing techniques, including mean centering, multiplicative scatter correction, standard normal variate, first derivative, and second derivative applied to the spectral data. Partial least squares discriminant analysis (PLS-DA) was employed for classification, and variable importance in projection (VIP) was used for optimal wavelength selection. …”
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Non-invasive and early detection of tomato spotted wilt virus infection in tomato plants using a hand-held Raman spectrometer and machine learning modelling
Published 2025-03-01“…After preliminary spectral pre-processing, a filter method based on Partial Least Squares Discriminant Analysis (PLS-DA) coefficients was applied to remove redundant and irrelevant variables. …”
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Novel machine‐learning bioinformatics reveal distinct metabolic alterations for enhanced colorectal cancer diagnosis and monitoring
Published 2025-06-01“…This study introduces a novel bioinformatics pipeline, PLS‐ANN‐DA (PANDA), combining partial least squares discriminant analysis (PLS‐DA) with an advanced artificial neural network (ANN) to improve CRC diagnosis and monitor disease progression. …”
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Effects of sorghum nutritional quality on the brewing quality of strong-flavor Baijiu
Published 2025-04-01“…Based on the detection results, partial least squares-discriminant analysis (PLS-DA) and correlation analysis were carried out. …”
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Analysis of physiochemical indicators and volatile flavor compounds in the process of sauce-flavor high-temperature Daqu in different regions
Published 2025-06-01“…The volatile flavor compounds were analyzed by partial least squares-discriminant analysis (PLS-DA). …”
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Study on yellow tea taste characteristic and contribution of taste-chemical compositions to taste quality based on partial main cultivated cultivars in Zhejiang Province
Published 2019-08-01“…There were significant differences on the most of taste-chemical compositions among yellow teas from three tea cultivars, while there was a small difference among yellow teas from the same tea cultivar. The content analysis and partial least square discriminant analysis (PLS-DA) indicated that the taste quality of yellow tea was influenced remarkably by tea cultivars. …”
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The application of untargeted metabolomics coupled with chemometrics for the analysis of agitation effects on the sensory profiles of matcha tea
Published 2024-01-01“…The key aroma compounds contributed to the sensory differences of matcha tea agitated at different rates and time were analyzed by gas chromatography-mass spectrometry and partial least square-discriminate analysis (PLS-DA), which were further verified by the triangle test. …”
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Rapid Non-Destructive Detection of Rice Seed Vigor via Terahertz Spectroscopy
Published 2024-12-01“…Terahertz transmission imaging (0.1–3 THz) was conducted on 420 seeds, and spectral data were preprocessed using several advanced data processing techniques, including competitive adaptive reweighting (CARS), uninformative variable elimination (UVE), and principal component analysis (PCA). Three chemometric models, namely random forest (RF), K-nearest neighbors (KNN), and partial least squares–discriminant analysis (PLS-DA), were established. …”
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