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...

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Detalles Bibliográficos
Autores principales: Guevara-Viejó, Fabricio, Valenzuela-Cobos, Juan Diego, Vicente-Galindo, Purificación, Galindo-Villardón, Purificación
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
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

Internet

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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