Application of Clustering Analysis and Discriminant Analysis on Quality Grade Evaluation of Jadeite-Jades’ Green Color

Abstract:

Based on CIE1976 L^*a^*b^* uniform color space, 381 jadeite-jades’ green color were measured by Color i5 spectrophotometer. By applying clustering analysis and discriminant analysis, a classifying and grading function model of jadeite-jades’ green color is tried to be established according to L^*, a^* and b^* variable factors. The results showed that jadeite-jades’ green color were divided well into six categories by K-Means clustering analysis, and ANOVA showed L^*, a^* and b^* values among various categories were significantly different (all p <0.01). The green color of Category 5 with moderate brightness and high chroma outperformed the others, followed by Category 3. The green color of Category 2 with higher brightness and chroma was appraised to be better than the deep green color of Category 3. Dark green of Category 4 and faint green of Category 6 were in the minimum level of the quality. A linear discriminant function model of the six categories of jadeite-jades’ green color was established by Fisher discriminant analysis, which had excellent performance of discriminant with the model checking accuracy of 95.80%.It is concluded that the method of color measurement used by Color i5 spectrophotometer combined with clustering analysis and discriminant analysis offers an efficient, reasonable and feasible approach to the fast classifying and quality grading evaluation of jadeite-jades’ green color.

• Periodical: Key Engineering Materials (Volume 591)
• Pages: 343-347
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.591.343
• Online since: November 2013
• Authors: Huan Wang, Ying Guo, Hong Mei Du
• Keywords: Fisher Discriminant Analysis, Grade Evaluation, Jadeite-Jades’ Green Color, K-Means Clustering Analysis

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