Comparison of self-organizing maps classification approach with cluster and principal components analysis for large environmental data sets.
By A. Astel, S. Tsakovski, Pierluigi Barbieri, V. Simeonov. Water Research, 2007
357 citations recorded by the source corpus.
Subfields: Environmental Engineering, Industrial and Manufacturing Engineering, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/40e633e1c1a9a2c2e6c6165cb03e5accaa06d204
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In Water Science and Technology
Citations in the corpus
- Green Chemistry Metrics with Special Reference to Green Analytical Chemistry (2015, methodology): “For example, the self-organizing maps [64], representing one of the most beneficial multivariate statistics tools [65] were used for grouping analytical procedures for determination of benzene (26 procedures) and phenol (21 procedures) in water samples [66].”