Results 41 to 50 of about 563,921 (264)
Principal Components Analysis Utility in the Livestock Field
Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca. Animal Science and Biotechnologies, 2016 Principal Component Analysis is a method factor - factor analysis - and is used to reduce data complexity by replacingmassive data sets by smaller sets.
Ancuta Simona Rotaru +3 more
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Principal components analysis and cyclostationarity
Journal of Multivariate Analysis, 2022 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Boudou, Alain, Viguier-Pla, Sylvie
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Chemomertic Risk Assessment of Soil Pollution
Open Chemistry, 2019 In this study, an interpretation and modeling of the soil quality by monitoring data using an intelligent data analysis is presented. On an annual average, values of 12 soil surface chemical parameters as input variables were determined at 35 sampling ...
Nedyalkova Miroslava, Simeonov Vasil
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A principal component analysis for trees
The Annals of Applied Statistics, 2009 The active field of Functional Data Analysis (about understanding the variation in a set of curves) has been recently extended to Object Oriented Data Analysis, which considers populations of more general objects. A particularly challenging extension of this set of ideas is to populations of tree-structured objects.
Aydın, Burcu +4 more
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Entropy, 2015 The classic principal components analysis (PCA), kernel PCA (KPCA) and linear discriminant analysis (LDA) feature extraction methods evaluate the importance of components according to their covariance contribution, not considering the entropy ...
Shunfang Wang, Ping Liu
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ارزیابی ژنوتیپهای یولاف زراعی (Avena sativa L.) با استفاده از شاخصهای تحمل خشکی [PDF]
تنش های محیطی در علوم زراعی, 2016 یولاف بهعنوان یکی از غلاتی که در اغلب نقاط دنیا کشت میگردد، دارای خواص غذایی و دارویی بسیاری است و این ظرفیت را دارد که در ایران نیز بهطور اقتصادی کشتوکار شود، اما همانند بسیاری دیگر از محصولات زراعی تنش خشکی میتواند ازجمله موانع توسعه و تولید مطلوب
صحبت بهرامی نژاد +2 more
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Principal Components Analysis of EEG Signals for Epileptic Patient Identification
Computation, 2021 According to the behavior of its neuronal connections, it is possible to determine if the brain suffers from abnormalities such as epilepsy. This disease produces seizures and alters the patient’s behavior and lifestyle.
Maria Camila Guerrero +2 more
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Generative Principal Component Analysis
CoRR, 2022 ICLR 2022 paper + additional appendix on algorithm-independent lower bounds + corrected experimental results for the Fashion-MNIST ...
Zhaoqiang Liu +4 more
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Recursive Principal Components Analysis Using Eigenvector Matrix Perturbation
EURASIP Journal on Advances in Signal Processing, 2004 Principal components analysis is an important and well-studied subject in statistics and signal processing. The literature has an abundance of algorithms for solving this problem, where most of these algorithms could be grouped into one of the following ...
Deniz Erdogmus +4 more
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Composição química da precipitação úmida da região metropolitana de Porto Alegre, Brasil, 2005- 2007
Química Nova, 2012 This work aims to quantify the wet precipitation the Metropolitan Area of Porto Alegre (MAPA), in southern Brazil, through the analysis of major ions (by ion chromatography) and metallic elements (ICP/AES).
Daniela Montanari Migliavacca +2 more
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