International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Volume 8 Issue 1
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Eigenvalue and Singular Value Decomposition in Linear Algebra and Data Analysis

Author(s) Ms. Aswathy C P
Country India
Abstract Eigenvalue Decomposition applies primarily to symmetric square matrices, Singular Value Decomposition extends these ideas to general matrices of any size. Together, they form the mathematical foundation for many modern applications in data analysis, machine learning, and scientific computing.
Keywords EVD, SVD, Linear algebra, PCA, Applications
Field Mathematics
Published In Volume 8, Issue 1, January-February 2026
Published On 2026-02-04
DOI https://doi.org/10.36948/ijfmr.2026.v08i01.67855
Short DOI https://doi.org/hbnpwk
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E-ISSN 2582-2160
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