NONPARAMETRIC METHODS OF AUTHORSHIP ATTRIBUTION IN ENGLISH LITERATURE
Dmitriy A. Klyushin, V. Yu. Mykhaylyuk · Journal of Numerical and Applied Mathematics · 2020
The paper describes the results of comparison of two nonparametric methods of authorship identification in English literature. It describes testing methods with and without clustering. A method was also proposed to select the n-grams that would best serve as a marker to identify the author. More than 800 texts of 16 authors were used for testing. The method using the density of the distribution is suitable for identifying authors of both large texts (50000+ characters) and small (10000+ characters) ones. A method that uses p-statistics is only suitable for large texts.