Comprehensive Evaluation of Chestnut Quality Based on Principal Component and Cluster Analysis

Comprehensive Evaluation of Chestnut Quality Based on Principal Component and Cluster Analysis

To develop an appropriate method for evaluating the quality of chestnut resources. The 21 quality indicators of 25 chestnut varieties were detected and analyzed. The key indicators of affecting the quality of chestnut were selected through principal component analysis (PCA) coupled with correlation...

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Detalhes bibliográficos
Main Authors: Yanqi YU, Mingyuan YANG, Chunmao LÜ, Shaoci BAI, Qunfang ZHANG, Chenyang ZOU, Han JIANG
Formato: Artigo
Idioma:zho
Publicado em: The editorial department of Science and Technology of Food Industry 2025-01-01
Colecção:Shipin gongye ke-ji
Assuntos:
chestnut
principal component analysis
entropy weight method
grey relational degree analysis
cluster analysis
Acesso em linha:http://www.spgykj.com/cn/article/doi/10.13386/j.issn1002-0306.2024020255

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