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Advances in Fuzzy Systems
Volume 2018, Article ID 2634861, 8 pages
https://doi.org/10.1155/2018/2634861
Research Article

-Means: A Fast Fuzzy Clustering

1Faculty of Mathematics and Computer Science, Amirkabir University of Technology, Tehran, Iran
2School of Engineering Science, College of Engineering, University of Tehran, Tehran, Iran

Correspondence should be addressed to Adel Mohammadpour; ri.ca.tua@leda

Received 17 January 2018; Accepted 17 April 2018; Published 3 June 2018

Academic Editor: Ferdinando Di Martino

Copyright © 2018 Israa Abdzaid Atiyah et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Israa Abdzaid Atiyah, Adel Mohammadpour, and S. Mahmoud Taheri, “-Means: A Fast Fuzzy Clustering,” Advances in Fuzzy Systems, vol. 2018, Article ID 2634861, 8 pages, 2018. https://doi.org/10.1155/2018/2634861.