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

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 comp...

Full description

Bibliographic Details
Main Authors: Fabricio Guevara-Viejó, Juan Diego Valenzuela-Cobos, Purificación Vicente-Galindo, Purificación Galindo-Villardón
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Journal of Fungi
Subjects:
K-means clustering algorithm
<i>Pleurotus ostreatus</i>
<i>Pleurotus djamor</i>
commercial parameters
visualization
Online Access:https://www.mdpi.com/2309-608X/7/7/537

Internet

https://www.mdpi.com/2309-608X/7/7/537

Similar Items