Discussion on: An Exploratory Application of Self-Organizing Maps and Support Vector Machines for Hydrochemical Pattern Recognition and Risk Profiling in Data-Scarce Environments

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Article Title

An Exploratory Application of Self-Organizing Maps and Support Vector Machines for Hydrochemical Pattern Recognition and Risk Profiling in Data-Scarce Environments

Authored by

D. M. Ogbonnaya
Department of Geology, Nnamdi Azikiwe University, Awka, Nigeria.

C. M. Okolo
Department of Geology, Nnamdi Azikiwe University, Awka, Nigeria.

O. T. Emenaha
Department of Geosciences, Norwegian University of Science and Technology, Trondheim, Norway.

DOI or Article Link

https://doi.org/10.9734/air/2026/v27i51744

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