Application of K-Means Clustering Algorithm to Commercial Parameters of <i>Pleurotus</i> spp. Cultivated on Representative Agricultural Wastes from Province of Guayas

Data of the commercial parameters of <i>Pleurotus ostreatus</i> and <i>Pleurotus djamor</i> 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...

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Bibliografiske detaljer

Principais autores:	Fabricio Guevara-Viejó, Juan Diego Valenzuela-Cobos, Purificación Vicente-Galindo, Purificación Galindo-Villardón
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2021-07-01
Serier:	Journal of Fungi
Fag:	K-means clustering algorithm <i>Pleurotus ostreatus</i> <i>Pleurotus djamor</i> commercial parameters visualization
Online adgang:	https://www.mdpi.com/2309-608X/7/7/537
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