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The Scientific World Journal
Volume 2014 (2014), Article ID 562194, 12 pages
http://dx.doi.org/10.1155/2014/562194
Research Article

A Hybrid Algorithm for Clustering of Time Series Data Based on Affinity Search Technique

Faculty of Computer Science & Information Technology Building, University of Malaya, 50603 Kuala Lumpur, Malaysia

Received 4 October 2013; Accepted 2 February 2014; Published 25 March 2014

Academic Editors: H. Chen, P. Ji, and Y. Zeng

Copyright © 2014 Saeed Aghabozorgi 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

Saeed Aghabozorgi, Teh Ying Wah, Tutut Herawan, Hamid A. Jalab, Mohammad Amin Shaygan, and Alireza Jalali, “A Hybrid Algorithm for Clustering of Time Series Data Based on Affinity Search Technique,” The Scientific World Journal, vol. 2014, Article ID 562194, 12 pages, 2014. doi:10.1155/2014/562194