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Application of K-Means Clustering Algorithm to Commercial Parameters of Pleurotus spp. Cultivated on Representative Agricultural Wastes from Province of Guayas
Data of the commercial parameters of Pleurotus ostreatus and Pleurotus djamor were analyzed using the data mining technique: K-means clustering algorithm. The parameters evaluated were: biological efficiency, crop yield ratio, productivity rate, nutritional composition, antioxidant and antimicrobial...
Autores principales: | Guevara-Viejó, Fabricio, Valenzuela-Cobos, Juan Diego, Vicente-Galindo, Purificación, Galindo-Villardón, Purificación |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8304144/ https://www.ncbi.nlm.nih.gov/pubmed/34356916 http://dx.doi.org/10.3390/jof7070537 |
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