Narrow-domain short texts clustering algorithm

Authors

  • Svetlana Popova
  • Ivan Khodyrev

Keywords:

information retrieval, texts clustering, narrow-domain short texts clustering, k-means, genetic algorithm

Abstract

In this paper, we describe the algorithm of narrow-domain short texts clustering, which is based on terms’ selection and modification of k-means algorithm. Our approach was tested on collections: CICling – 2002 and SEPLIN-CICling. Results of tests and conclusions are presented.

Downloads

Published

2011-04-30

Issue

No. 2 (2011)

Section

Informational systems

License

Public offer

How to Cite

[1]
“Narrow-domain short texts clustering algorithm”, Comput. Tools Educ., no. 2, Apr. 2011, Accessed: Oct. 24, 2026. Available: http://cte.eltech.ru/ojs/index.php/kio/article/view/1255