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Nonlinear Feature Extraction Through Manifold Learning in an Electronic Tongue Classification Task
A nonlinear feature extraction-based approach using manifold learning algorithms is developed in order to improve the classification accuracy in an electronic tongue sensor array. The developed signal processing methodology is composed of four stages: data unfolding, scaling, feature extraction, and...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506882/ https://www.ncbi.nlm.nih.gov/pubmed/32867066 http://dx.doi.org/10.3390/s20174834 |