D. M. Ogbonnaya

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

D. M. Ogbonnaya, C. M. Okolo & O. T. Emenaha · Advances in Research · 2026

Effective water-quality assessment in data-limited environments requires analytical approaches that extract meaningful patterns from relatively small datasets. This study evaluates the complementary application of Self-Organizing Maps (SOM) and Support Vector Machines (SVM) for h...