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Abstract and Applied Analysis
Volume 2013 (2013), Article ID 183410, 7 pages
http://dx.doi.org/10.1155/2013/183410
Research Article

A Dynamic Fuzzy Cluster Algorithm for Time Series

1School of Computer Science, Liaoning Normal University, Dalian, Liaoning 116081, China
2School of Urban and Environmental Science, Liaoning Normal University, Dalian, Liaoning 116029, China
3The School of Electronics and Information Engineering, Tongji University, Shanghai 201804, China

Received 19 December 2012; Accepted 25 March 2013

Academic Editor: Jianhong (Cecilia) Xia

Copyright © 2013 Min Ji 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.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • K. Vedavathi, K. Srinivasa Rao, and K. Nirupama Devi, “Unsupervised learning algorithm for time series using bivariate AR(1) model,” Expert Systems with Applications, vol. 41, no. 7, pp. 3402–3408, 2014. View at Publisher · View at Google Scholar
  • Vala Ali Rohani, Zarinah Mohd Kasirun, Sameer Kumar, and Shahaboddin Shamshirband, “An Effective Recommender Algorithm for Cold-Start Problem in Academic Social Networks,” Mathematical Problems in Engineering, vol. 2014, pp. 1–11, 2014. View at Publisher · View at Google Scholar
  • 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, pp. 1–12, 2014. View at Publisher · View at Google Scholar