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...

Bibliografske podrobnosti
Main Authors:	Yanqi YU, Mingyuan YANG, Chunmao LÜ, Shaoci BAI, Qunfang ZHANG, Chenyang ZOU, Han JIANG
Format:	Article
Jezik:	zho
Izdano:	The editorial department of Science and Technology of Food Industry 2025-01-01
Serija:	Shipin gongye ke-ji
Teme:	chestnut principal component analysis entropy weight method grey relational degree analysis cluster analysis
Online dostop:	http://www.spgykj.com/cn/article/doi/10.13386/j.issn1002-0306.2024020255

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