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Principal Component Analysis: Methods, Applications, and Technology

• Authors : Gray, Virginia

Subjects: Multivariate analysis; Principal components analysis; Factor analysisMATHEMATICS / Probability & Statistics / General; MATHEMATICS / Applied

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Multivariate spatiotemporal functional principal component analysis for modeling hospitalization and mortality rates in the dialysis population.

• Authors : Qian, Qi; Nguyen, Danh; Telesca, Donatello

Subjects: Conditional autoregressive model; End-stage kidney disease; Multivariate conditional autoregressive model

• Source: Biostatistics. 25(3)

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Balancing act: navigating the privacy-utility spectrum in principal component analysis

• Authors : Kwatra, Saloni; Monreale, Anna; Naretto, Francesca

Subjects: Data Reconstruction Attack; Federated Learning; Generative Networks

• Source: Proceedings of the International Conference on Security and Cryptography International Conference on Security and Cryptography. :850-857

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Principal component analysis as an efficient method for capturing multivariate brain signatures of complex disorders-ENIGMA study in people with bipolar disorders and obesity.

• Authors : McWhinney, Sean; Hlinka, Jaroslav; Bakstein, Eduard

Subjects: MRI; bipolar disorder; body mass index

• Source: Human Brain Mapping. 45(8)

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Using functional principal component analysis (FPCA) to quantify sitting patterns derived from wearable sensors.

• Authors : Carlson, Jordan; Hibbing, Paul; Rosenberg, Dori

Subjects: Accelerometer; Functional Principal Component Analysis (FPCA); Multilevel FPCA

• Source: International Journal of Behavioral Nutrition and Physical Activity. 21(1)

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Balance Assessment Using a Handheld Smartphone with Principal Component Analysis for Anatomical Calibration.

• Authors : Anthony EC; Mechanical Engineering Department, College of Engineering, California Polytechnic State University, San Luis Obispo, CA 93407, USA.; Kam OK

Subjects: Smartphone* ; Principal Component Analysis* ; Postural Balance*/Postural Balance*/Postural Balance*/physiology

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 Aug 23; Vol. 24 (17). Date of Electronic Publication: 2024 Aug 23.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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Assessment of heat stress contributing factors in the indoor environment among vulnerable populations in Klang Valley using principal component analysis (PCA).

• Authors : Muhamad SN; Department of Environmental and Occupational Health, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.; How V

Subjects: Vulnerable Populations* ; Principal Component Analysis* ; Rural Population*

• Source: Scientific reports [Sci Rep] 2024 Jul 15; Vol. 14 (1), pp. 16265. Date of Electronic Publication: 2024 Jul 15.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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A multi-view representation technique based on principal component analysis for enhanced short text clustering.

• Authors : Ahmed MH; CAIT, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia.; Ministry of Higher Education and Scientific Research, Baghdad, Iraq.

Subjects: Principal Component Analysis* ; Data Mining*/Data Mining*/Data Mining*/methods; Cluster Analysis

• Source: PloS one [PLoS One] 2024 Aug 23; Vol. 19 (8), pp. e0309206. Date of Electronic Publication: 2024 Aug 23 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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The impact of high-temperature treatments on maize growth parameters and soil nutrients: A comprehensive evaluation through principal component analysis.

• Authors : Guo Z; Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an, China.; Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an, China.

Subjects: Zea mays*/Zea mays*/Zea mays*/growth & development ; Soil*/Soil*/Soil*/chemistry ; Principal Component Analysis*

• Source: PloS one [PLoS One] 2024 Aug 15; Vol. 19 (8), pp. e0309070. Date of Electronic Publication: 2024 Aug 15 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Genotypic and phenotypic characterisation of three local chicken ecotypes of Ghana based on principal component analysis and body measurements.

• Authors : Botchway PK; Department of Animal Science, University of Ghana, Legon, Accra, Ghana.; USAID Feed the Future Innovation Lab for Genomics to Improve Poultry, University of California, Davis, CA, United States of America.

Subjects: Chickens*/Chickens*/Chickens*/genetics ; Ecotype* ; Principal Component Analysis*

• Source: PloS one [PLoS One] 2024 Aug 07; Vol. 19 (8), pp. e0308420. Date of Electronic Publication: 2024 Aug 07 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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