Bayes classification of the text documents. Hierarchical clustering on the basis of frequent itemsets

Authors

  • Яна Сергіїна Свириденко Харківський національний університет радіоелектроніки, Ukraine

DOI:

https://doi.org/10.15587/1729-4061.2010.2815

Keywords:

Bayes classification, document, text, program, object, class, frequent itemsets, clustering

Abstract

This article considers Bayes classification of text documents. For a more detailed analysis and practical use of the new approach for document clustering - hierarchical clustering based on frequent itemsets (FIHC), which is based on the idea of frequent itemsets.

Author Biography

Яна Сергіїна Свириденко, Харківський національний університет радіоелектроніки

Студентка

References

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  4. Вапник, В. Н. Теорія розпізнавання образів [Текст] / В. Н Вапник, А. Я Червоненкис. – М.: Наука, 1974. – 598 с.
  5. Прикладна статистика: класифікація й зниження розмірності [Текст] / С. А. Айвазян, В. М. Бухштабер, И. С. Енюков, Л. Д. Мешалкин. – М.: Фінанси й статистика, 1989. – 457 с.

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Published

2010-05-28

How to Cite

Свириденко, Я. С. (2010). Bayes classification of the text documents. Hierarchical clustering on the basis of frequent itemsets. Eastern-European Journal of Enterprise Technologies, 3(4(45), 42–47. https://doi.org/10.15587/1729-4061.2010.2815

Issue

Vol. 3 No. 4(45) (2010): Information technology

Section

Information technology

License

Copyright (c) 2014 Яна Сергіїна Свириденко

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