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...
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doaj-9ef05ec9b7744ac8842e1ae63eeb86412021-07-23T13:49:08ZengMDPI AGJournal of Fungi2309-608X2021-07-01753753710.3390/jof7070537Application of K-Means Clustering Algorithm to Commercial Parameters of <i>Pleurotus</i> spp. Cultivated on Representative Agricultural Wastes from Province of GuayasFabricio Guevara-Viejó0Juan Diego Valenzuela-Cobos1Purificación Vicente-Galindo2Purificación Galindo-Villardón3Facultad de Ciencias e Ingeniería, Universidad Estatal de Milagro (UNEMI), 091050 Milagro, EcuadorFacultad de Ciencias e Ingeniería, Universidad Estatal de Milagro (UNEMI), 091050 Milagro, EcuadorDepartment of Statistics, University of Salamanca, 37008 Salamanca, SpainDepartment of Statistics, University of Salamanca, 37008 Salamanca, SpainData 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 antimicrobial activities in the production of fruit bodies of 50 strains of <i>Pleurotus ostreatus</i> and 50 strains of <i>Pleurotus djamor</i>, cultivated on the most representative agricultural wastes from the province of Guayas: 80% sugarcane bagasse and 20% wheat straw (M1), and 60% wheat straw and 40% sugarcane bagasse (M2). The database of the parameters obtained in experimental procedures was grouped into three clusters, providing a visualization of the strains with a higher relation to each parameter (vector) measured.https://www.mdpi.com/2309-608X/7/7/537K-means clustering algorithm<i>Pleurotus ostreatus</i><i>Pleurotus djamor</i>commercial parametersvisualization |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Fabricio Guevara-Viejó Juan Diego Valenzuela-Cobos Purificación Vicente-Galindo Purificación Galindo-Villardón |
spellingShingle |
Fabricio Guevara-Viejó Juan Diego Valenzuela-Cobos Purificación Vicente-Galindo Purificación Galindo-Villardón Application of K-Means Clustering Algorithm to Commercial Parameters of <i>Pleurotus</i> spp. Cultivated on Representative Agricultural Wastes from Province of Guayas Journal of Fungi K-means clustering algorithm <i>Pleurotus ostreatus</i> <i>Pleurotus djamor</i> commercial parameters visualization |
author_facet |
Fabricio Guevara-Viejó Juan Diego Valenzuela-Cobos Purificación Vicente-Galindo Purificación Galindo-Villardón |
author_sort |
Fabricio Guevara-Viejó |
title |
Application of K-Means Clustering Algorithm to Commercial Parameters of <i>Pleurotus</i> spp. Cultivated on Representative Agricultural Wastes from Province of Guayas |
title_short |
Application of K-Means Clustering Algorithm to Commercial Parameters of <i>Pleurotus</i> spp. Cultivated on Representative Agricultural Wastes from Province of Guayas |
title_full |
Application of K-Means Clustering Algorithm to Commercial Parameters of <i>Pleurotus</i> spp. Cultivated on Representative Agricultural Wastes from Province of Guayas |
title_fullStr |
Application of K-Means Clustering Algorithm to Commercial Parameters of <i>Pleurotus</i> spp. Cultivated on Representative Agricultural Wastes from Province of Guayas |
title_full_unstemmed |
Application of K-Means Clustering Algorithm to Commercial Parameters of <i>Pleurotus</i> spp. Cultivated on Representative Agricultural Wastes from Province of Guayas |
title_sort |
application of k-means clustering algorithm to commercial parameters of <i>pleurotus</i> spp. cultivated on representative agricultural wastes from province of guayas |
publisher |
MDPI AG |
series |
Journal of Fungi |
issn |
2309-608X |
publishDate |
2021-07-01 |
description |
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 antimicrobial activities in the production of fruit bodies of 50 strains of <i>Pleurotus ostreatus</i> and 50 strains of <i>Pleurotus djamor</i>, cultivated on the most representative agricultural wastes from the province of Guayas: 80% sugarcane bagasse and 20% wheat straw (M1), and 60% wheat straw and 40% sugarcane bagasse (M2). The database of the parameters obtained in experimental procedures was grouped into three clusters, providing a visualization of the strains with a higher relation to each parameter (vector) measured. |
topic |
K-means clustering algorithm <i>Pleurotus ostreatus</i> <i>Pleurotus djamor</i> commercial parameters visualization |
url |
https://www.mdpi.com/2309-608X/7/7/537 |
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