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本文应用270多个样品的化学分析数据中随机选择47个数据进行聚类分析,在Bayer准则下建立判别函数组。将永泰—德化地区的火山岩分为G_1和G_2两群,其G_1的分类水平=0.24、G_2的分类水平=0.35的距离系数。在G_1群中可分出G_(1-1)和G_(1-2)两亚群。代表该区的火山岩岩石分类。即:G_(1-1)—流纹岩类(λ);G_(1-2)—英安岩类(ζ);G_2—安山岩类(α)。该法是一种应用数学地质法对火山岩分类的探索,也可做为今后区域岩石学对比。
In this paper, 47 samples were randomly selected from the chemical analysis data of more than 270 samples for cluster analysis. The Bayes criterion was used to establish the discriminant function group. Volcanic rocks in Yongtai-Dehua area are divided into two groups G_1 and G_2. The G_1 classification level is 0.24, and the G_2 classification level is the distance coefficient of 0.35. G_1 (1-1) and G_ (1-2) subpopulations can be differentiated in G_1 population. Volcanic rocks that represent the area. Namely: G_ (1-1) - rhyolite (λ); G_ (1-2) - dacite (ζ); G_2-andesite (α). This method is an exploration of the classification of volcanic rocks by using mathematical geology method, and can also be used as the contrast of petrology in the future.