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    Application of Principal Component Analysis for Steel Material Components by Miran Othman Tofiq, Kawa Muhammad Jamal Rasheed

    Published 2022-12-01
    “…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 components by making use of orthogonal transformation. …”
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    Study of Multiple Regression Modal between Soil Properties and Colony-forming Unit Collected from Diverse Regions of Rajasthan, India by Himanshi Mangla, Saurabh Dave, Smita Jain, Hardik Pathak

    Published 2025-06-01
    “…Before applying the regression models, the dependency of several soil properties with CFU, the principal component (PC) analysis, was applied. Results: As a result, only three PCs have eigenvalues >1. …”
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    Quantifying Topographic Ruggedness Using Principal Component Analysis by Maan Habib

    Published 2021-01-01
    “…The development of geospatial technologies has opened a new era in terms of data collection techniques and analysis procedures. Digital elevation models as 3D visualization of the Earth’s surface have many mapping and spatial analysis applications. …”
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    Analysis of Key Factors for the Growth of 99% Usahaku MSMEs Using Principal Component Analysis by Rany Aprilyanta, Fajar Sidiq Adi Prabowo

    Published 2025-08-01
    “…The responses are analyzed using the SPSS statistical software, with Principal Component Analysis (PCA) serving as the primary method of analysis.The results, indicated by a KMO Measure of Sampling Adequacy (MSA) value of 0.586 (greater than 0.50) and a significant Bartlett’s Test of Sphericity (p-value < 0.05), suggest a meaningful correlation between the identified key factors and the growth of MSMEs on the 99% Usahaku platform, thus supporting the alternative hypothesis (H1). …”
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    Classification of Alzheimer's disease using unsupervised diffusion component analysis by Dominique Duncan, Thomas Strohmer

    Published 2016-07-01
    “…Unsupervised Diffusion Component Analysis, a novel approach based on the diffusion mapping framework, reduces data dimensionality and provides pattern recognition that can be used to distinguish AD brains from healthy brains. …”
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    Collection and diversity analysis of sugarcane wild germplasm resources in northern Guangdong by Wenyi ZONG, Baoqing ZHANG, Jing LIU, Zhongfeng ZHOU, Junxian LIU, Yuxin HUANG, Shan ZHOU, Cuifang YANG, Gemin ZHANG, Faqian XIONG, Boyin LI, Weixing DUAN

    Published 2025-09-01
    “…The Shannon-Wiener diversity index of qualitative traits was 0.000 0−1.222 7. Principal component analysis extracted two principal components from six quantitative traits, with a cumulative contribution rate of 62.312%. …”
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    Investigation of VOC Series Collected in a Refinery and Their Classification Based on Statistical Features by Alina Bărbulescu, Sebastian-Barbu Barbeş, Lucica Barbeş, Cristian Ștefan Dumitriu

    Published 2024-12-01
    “…In the context of the increased pollution from different sources and its significant negative effect on the population’s health and environment, the article presents a comprehensive analysis of the data series formed by the concentrations of the volatile organic compounds (VOCs) collected in three zones—storage areas in the reservoir park—of a refinery complex in Romania during the maintenance period. …”
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    Evaluation of soil fertility of major hilly orchards based on principal component analysis and cluster analysis by WANG Huilai, MA Jiawei, LIU Dan, KONG Haimin, QIAN Jianping

    Published 2025-05-01
    “…The differences in soil fertility among the orchards were conducted by principal component analysis and cluster analysis in this study. …”
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    An Analysis on Tendency Components on Strategic Approach in the Process of Urban Planning in Iran by Hosseini Mahnaz, Ghadami Mostafa

    Published 2016-06-01
    “…Analytical data from the ideas of 30 experts related to the field of study were collected. Besides the statistical models are used to analyze the data obtained from single-sample T (One T sample test) and linear regression analysis (Linear. …”
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    Application of Principal Component Analysis for Gene Sequences (cDNA microarrays) by Yalçın Tahtalı, Zeynel Cebeci

    Published 2020-02-01
    “…In this study, principal component analysis has been applied on data comprising of 6675 gene and 20 sequence collected by using cDNA microarray technology from livers of mice used in toxicology studies in certain time periods. …”
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