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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: | , , , |
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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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author | Guevara-Viejó, Fabricio Valenzuela-Cobos, Juan Diego Vicente-Galindo, Purificación Galindo-Villardón, Purificación |
author_facet | Guevara-Viejó, Fabricio Valenzuela-Cobos, Juan Diego Vicente-Galindo, Purificación Galindo-Villardón, Purificación |
author_sort | Guevara-Viejó, Fabricio |
collection | PubMed |
description | 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 activities in the production of fruit bodies of 50 strains of Pleurotus ostreatus and 50 strains of Pleurotus djamor, 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. |
format | Online Article Text |
id | pubmed-8304144 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83041442021-07-25 Application of K-Means Clustering Algorithm to Commercial Parameters of Pleurotus spp. Cultivated on Representative Agricultural Wastes from Province of Guayas Guevara-Viejó, Fabricio Valenzuela-Cobos, Juan Diego Vicente-Galindo, Purificación Galindo-Villardón, Purificación J Fungi (Basel) Article 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 activities in the production of fruit bodies of 50 strains of Pleurotus ostreatus and 50 strains of Pleurotus djamor, 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. MDPI 2021-07-04 /pmc/articles/PMC8304144/ /pubmed/34356916 http://dx.doi.org/10.3390/jof7070537 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Guevara-Viejó, Fabricio Valenzuela-Cobos, Juan Diego Vicente-Galindo, Purificación Galindo-Villardón, Purificación Application of K-Means Clustering Algorithm to Commercial Parameters of Pleurotus spp. Cultivated on Representative Agricultural Wastes from Province of Guayas |
title | Application of K-Means Clustering Algorithm to Commercial Parameters of Pleurotus spp. Cultivated on Representative Agricultural Wastes from Province of Guayas |
title_full | Application of K-Means Clustering Algorithm to Commercial Parameters of Pleurotus spp. Cultivated on Representative Agricultural Wastes from Province of Guayas |
title_fullStr | Application of K-Means Clustering Algorithm to Commercial Parameters of Pleurotus spp. Cultivated on Representative Agricultural Wastes from Province of Guayas |
title_full_unstemmed | Application of K-Means Clustering Algorithm to Commercial Parameters of Pleurotus spp. Cultivated on Representative Agricultural Wastes from Province of Guayas |
title_short | Application of K-Means Clustering Algorithm to Commercial Parameters of Pleurotus spp. Cultivated on Representative Agricultural Wastes from Province of Guayas |
title_sort | application of k-means clustering algorithm to commercial parameters of pleurotus spp. cultivated on representative agricultural wastes from province of guayas |
topic | Article |
url | 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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