A fuzzy Approach based for Document Datasets Clustering

Authors

  • Soukaena H. Hashem Computer Science Department, University of Technology, Baghdad, Iraq.
  • Raghad M. Hadi Computer Science Department, University of Technology, Baghdad, Iraq.
  • Abeer T. Maolood Computer Science Department, University of Technology, Baghdad, Iraq.

DOI:

https://doi.org/10.32792/jeps.v9i1.2

Keywords:

Data mining, clustering, FCM algorithm

Abstract

In large Computers; the huge volume of files actually generate disorder to analyze it. So, it desires to design a clustering techniques which reduce the costs of analysts.  Document clustering is an essential process in text mining, which retrieve the information with an acceptable accuracy, which can be achieved by fuzzy clustering. Reuters 21578 dataset is used for experimental purpose, the proposed system was tested by using Reuters 21578 datasets according to the time required to cluster data. The proposed system improves data clustering algorithms by construct required fuzzy clusters.  The proposed system showed a good result compared with clustering techniques in comparing with other clustering techniques in time efficiency.

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Published

2019-04-27

Issue

Vol. 9 No. 1 (2019)

Section

Articles

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