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...

書誌詳細
主要な著者:	Yanqi YU, Mingyuan YANG, Chunmao LÜ, Shaoci BAI, Qunfang ZHANG, Chenyang ZOU, Han JIANG
フォーマット:	論文
言語:	zho
出版事項:	The editorial department of Science and Technology of Food Industry 2025-01-01
シリーズ:	Shipin gongye ke-ji
主題:	chestnut principal component analysis entropy weight method grey relational degree analysis cluster analysis
オンライン･アクセス:	http://www.spgykj.com/cn/article/doi/10.13386/j.issn1002-0306.2024020255

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