Improving Fuzzy Kohonen Clustering Network and Applying it on Iris Data and Medical Image Segmentation

Authors

  • Mohammad Assaad

Abstract

 

In this research fuzzy kohonen clustering network has been tested after proposing a new relationship for the fuzzy parameter m in a clustering process. By studying the work of this algorithm, it shows that the most influential factor in fuzzy kohonen network behavior was fuzzy parameter m, This is because the update fuzzy parameterin each iteration automatically and effectively controls to distribution of learning rate and update the network weights to all data nodes at each. In this research the improved Fuzzy Kohonen Clustering Network (IFKCN) was tested on (Fisher’s IRIS) data, which is the standard data are testing the effectiveness of new algorithms, which represent data for three different classes of flowers. The proposed algorithm has  been tested in the field of medical image segmentation (magnetic resonance images of the brain) because of this application has great importance in the medical field. The proposed algorithm results were compared in the two areas of the former applications with two clustering famous K_means,(Fuzzy C-Means, FCM) and Fuzzy Kohonen Clustering Network (FKCN). The IFKCN algorithm results showed a good result comparing with the previous three algorithms in terms of the number of iterations and centers of clusters, mean square error ( MSE).

Downloads

Published

2018-09-25

How to Cite

1.
Assaad M. Improving Fuzzy Kohonen Clustering Network and Applying it on Iris Data and Medical Image Segmentation. TUJ-BA [Internet]. 2018Sep.25 [cited 2024May7];39(4). Available from: https://journal.tishreen.edu.sy/index.php/bassnc/article/view/3957

Issue

Vol. 39 No. 4 (2017): العلوم الأساسية

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

The authors retain the copyright and grant the right to publish in the magazine for the first time with the transfer of the commercial right to the Tishreen University Journal -Basic Sciences Series  

 Under a CC BY- NC-SA 04 license that allows others to share the work with of the work's authorship and initial publication in this journal. Authors can use a copy of their articles in their scientific activity, and on their scientific websites, provided that the place of publication is indicted in Tishreen University Journal -Basic Sciences Series .  The Readers have the right to send, print and subscribe to the initial version of the article, and the title of Tishreen University Journal -Basic Sciences Series   Publisher

 

journal uses a CC BY-NC-SA license which mean

You are free to:

  • Adapt — remix, transform, and build upon the material
  •  
  • The licensor cannot revoke these freedoms as long as you follow the license terms.

 

  • Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  • NonCommercial — You may not use the material for commercial purposes.
  • ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
  • No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.