Software implementation of classification methods

Authors

  • Ирина Николаевна Егорова Кафедра инженерной и компьютерной графики Харьковский национальный университет радиоэлектроники, Ukraine
  • Станислав Вячеславович Егоров Кафедра программного обеспечения ЭВМ Харьковский национальный университет радиоэлектроники, Ukraine

DOI:

https://doi.org/10.15587/1729-4061.2010.2579

Keywords:

classification algorithms, recognition, pattern, software implementation

Abstract

The research of decision tree method, realized as algorithm ID3, and method of k - nearest neighbours, realized as algorithms KNN and Fuzzy KNN was made. It was accomplished the software implementation of classification algorithms.

Author Biography

Ирина Николаевна Егорова, Кафедра инженерной и компьютерной графики Харьковский национальный университет радиоэлектроники

Кандидат технических наук, доцент

References

  1. Дуда Р., Харт П. Распознавание образов и анализ сцен.- М.: «Мир», 1976.- 507 с.
  2. Sameer A. A Simple Algorithm for Nearest Neighbor Search in High Dimensions // Department of computer science. - New York, 1998. - 36 p.
  3. Троелсен Э. С# и платформа .NET. Библиотека программиста. - СПб.: Питер, 2004. - 796 с.
  4. Liberty J. Programming C#. 2nd ed., - O’Reilly, 2002. - 648 p.

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How to Cite

Егорова, И. Н., & Егоров, С. В. (2012). Software implementation of classification methods. Eastern-European Journal of Enterprise Technologies, 1(5(43), 52–54. https://doi.org/10.15587/1729-4061.2010.2579

Issue

Vol. 1 No. 5(43) (2010): Control systems

Section

Control systems

License

Copyright (c) 2014 Ирина Николаевна Егорова, Станислав Вячеславович Егоров

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