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Application of Principal Component Analysis for Steel Material Components
Kurdistan Journal of Applied Research, 2022 In this research, we made use of the principal component analysis (PCA) technique, which is a multivariate statistical method that transforms a fixed number of correlated variables into a fixed number of orthogonal, uncorrelated axes known as principal ...
Miran Othman Tofiq +1 more
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Classification of Anemia Images Based on Principal Component Analysis (PCA)
Al-Mustansiriyah Journal of Science, 2017 Blood cells are composed of erythrocytes (Red Blood Cells (RBCs)), the shape of RBC changes when the body suffers from different diseases such as Anemia.
Asma I. Hussein, Nidaa F. Hassan
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Moving objects classification via category-wise two-dimensional principal component analysis [PDF]
Applied Computing and Informatics, 2022 Classifying moving objects in video sequences has been extensively studied, yet it is still an ongoing problem. In this paper, we propose to solve moving objects classification problem via an extended version of two-dimensional principal component ...
Falah Alsaqre, Osama Almathkour
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ACS Sensors, 2018 Exosomes, which are nanovesicles secreted by cells, are promising biomarkers for cancer diagnosis and prognosis, based on their specific surface protein compositions.
Hyunku Shin +4 more
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Principal Component Analysis in advanced breeding lines of oat (A. sativa × A. sterilis)
Electronic Journal of Plant Breeding, 2023 One hundred advanced oat lines involving two checks were assessed for genetic variability and diversity based on 15 agro-morphological traits by using principal component analysis.
Nagesh Bichewar1*, A. K. Mehta1, Kadthala Bhargava2 and S. Ramakrishana1
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, 2018 Background The development of statistical software has enabled food scientists to perform a wide variety of mathematical/statistical analyses and solve problems.
D. Granato +4 more
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Robust Orthogonal Complement Principal Component Analysis [PDF]
, 2016 Recently, the robustification of principal component analysis has attracted lots of attention from statisticians, engineers and computer scientists. In this work we study the type of outliers that are not necessarily apparent in the original observation ...
Li, Shijie, She, Yiyuan, Wu, Dapeng
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Sparse logistic principal components analysis for binary data [PDF]
, 2010 We develop a new principal components analysis (PCA) type dimension reduction method for binary data. Different from the standard PCA which is defined on the observed data, the proposed PCA is defined on the logit transform of the success probabilities ...
Hu, Jianhua +2 more
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PCA 4 DCA: The Application Of Principal Component Analysis To The Dendritic Cell Algorithm [PDF]
, 2009 As one of the newest members in the field of artificial immune systems (AIS), the Dendritic Cell Algorithm (DCA) is based on behavioural models of natural dendritic cells (DCs).
Aickelin, Uwe +3 more
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Designing a quality monitoring network of Gonabad Aquifer using principal component analysis (PCA) method [PDF]
Water Harvesting Research, 2021 In order to efficiently manage groundwater resources, determination of the main sampling points is very important to reduce sample size and save time and cost.
Samira Rahnama +3 more
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