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Classification and unscrambling a classinside-class situation by object target rotation: Hungarian silver coins of the Arpad Dynasty, AD 997–1301

机译:通过对象目标旋转来分类和解读同班级情况:公元997–1301年阿尔帕德王朝的匈牙利银币

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Classification is an important part of chemometrics and mostly based on optimization by vector rotations. The present study is a continuation of the classification of medieval Hungarian silver coins including the 16 kings of the Hungarian arpad Dynasty (AD 997–1301) (Racz et al.: Heritage Science 2013 1:2). The Racz et al. paper identified three historical periods of the arpad Dynasty from chemical data. The aim of the present study is to test whether the classification could be further refined by marker object projection-aided classification. It offers an example of the efficiency of this method in unscrambling a class-inside-class situation. The frequency distribution of concentrations of the coins is skewed and to a certain extent bimodal, and the arithmetic mean value and standard deviation around the mean frequently used in parametric methods may be poor descriptors of the information carried by the data. We test a combination of principal component decomposition and the nonparametric, noniterative object target rotationmethod to overcome some of the theoretical limitations of parametric methods. This test includes identification of archetypical class “Ambassadors” of each of the three historical periods of the arpad Dynasty and shows a class-inside-class situation.
机译:分类是化学计量学的重要组成部分,主要基于矢量旋转的优化。本研究是对中世纪匈牙利银币的分类的延续,包括匈牙利arpad王朝(AD 997–1301)的16位国王(Racz等人:Heritage Science 2013 1:2)。 Racz等。论文从化学数据中确定了arpad王朝的三个历史时期。本研究的目的是检验标记对象投影辅助分类是否可以进一步完善分类。它提供了此方法在解释类内情况时效率的示例。硬币浓度的频率分布是偏斜的,并且在一定程度上是双峰的,参数方法中经常使用的算术平均值和围绕平均值的标准偏差可能无法很好地描述数据所携带的信息。我们测试了主成分分解和非参数,非迭代对象目标旋转方法的组合,以克服参数方法的某些理论限制。该测试包括识别arpad王朝三个历史时期中每个时期的原型阶级“大使”,并显示阶级内部的情况。

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