A novel data-driven visualization of \(n\)-dimensional feasible region using interpretable self-organizing maps (iSOM)

DOI10.1016/j.neunet.2022.08.019OpenAlexW4293522726WikidataQ114145534 ScholiaQ114145534MaRDI QIDQ6077657

Deepak Nagar, Kiran Pannerselvam, Palaniappan Ramu

Publication date: 18 October 2023

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2022.08.019

zbMATH Keywords

unsupervised learningmachine learningdecision processesself-organizing mapsgraphical optimization

Mathematics Subject Classification ID

Experimental work for problems pertaining to operations research and mathematical programming (90-05)

Cites Work

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• Fast algorithm and implementation of dissimilarity self-organizing maps
• Advanced visualization of self-organizing maps with vector fields
• Pareto Density Estimation: A Density Estimation for Knowledge Discovery
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