Application of Principal Component Analysis for Steel Material Components

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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 transfor...

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Bibliographic Details
Published in:Kurdistan Journal of Applied Research
Main Authors: Miran Othman Tofiq, Kawa Muhammad Jamal Rasheed
Format: Article
Language:English
Published: Sulaimani Polytechnic University 2022-12-01
Subjects:
Principal Component Analysis (PCA)
multivariate
transformation
uncorrelated
Online Access:https://www.spu.edu.iq/kjar/index.php/kjar/article/view/809

Internet

https://www.spu.edu.iq/kjar/index.php/kjar/article/view/809

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