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应用主成分聚类分析方法对景德镇地区的21个古瓷胎样本的化学成分数据进行了研究,得到几个主成分得分,利用主成分分析结果代替原来较多的成分指标,进行聚类分析,得到聚类结果。结果表明,根据景德镇历代瓷胎配方的演变规律,瓷胎基本上可分为五代宋、元明、清三类,该方法可对未知样本的断代提供一定的参考依据。
Principal component clustering analysis was used to study the chemical composition data of 21 samples of ancient porcelain in Jingdezhen region. Several principal component scores were obtained. Principal component analysis (PCA) was used instead of the original component indexes to cluster analysis. Get the clustering result. The results show that according to the evolvement rules of the formula of Jingdezhen porcelain tires in the past dynasties, the porcelain briquettes basically can be divided into three categories: Song, Yuan, Ming and Qing Dynasties. These methods can provide reference for the dating of unknown samples.