Abstract The text in the Voynich manuscript was analysed with respect to transition frequencies between the various characters within words. Principal Component Analysis (PCA) was utilised to visualise the relationships graphically, which provided evidence of grouping of characters into two or more classes depending on their transition probabilities to other characters. Based on comparative analysis on texts in known languages, consonant and vowel-classes were suggested. Vowels and consonants were clearly separated in the PCA score plots of the characters in the known languages. The Voynich characters were generally close together in the PCA score plots if the characters looked similar. That is, aggregation based on visual similarity was observed. Furthermore, some other properties of the different characters related to their transition frequencies to other characters were revealed and discussed in terms of their visual layouts, ligatures or accents in the text.

中文翻译：

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基于已知语言文字比较分析的伏尼契手稿字符主成分分析及其分类

摘要 伏尼契手稿中的文本分析了单词中各种字符之间的转换频率。主成分分析 (PCA) 用于以图形方式可视化关系，这提供了根据字符到其他字符的转换概率将字符分组为两个或多个类的证据。在对已知语言文本进行比较分析的基础上，提出了辅音类和元音类。在已知语言字符的 PCA 得分图中，元音和辅音明显分开。如果角色看起来相似，那么在 PCA 得分图中，伏尼契角色通常会靠得很近。即，观察到基于视觉相似性的聚集。此外，