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Complexity
Volume 2018, Article ID 9034647, 15 pages
https://doi.org/10.1155/2018/9034647
Research Article

Stroke Subtype Clustering by Multifractal Bayesian Denoising with Fuzzy Means and -Means Algorithms

1University of Massachusetts Medical School, Worcester, MA 01655, USA
2Engineering School, DEIM, University of Tuscia, 01100 Viterbo, Italy
3Department of Neurology and Psychiatry, University of Massachusetts Medical School, Worcester, MA 01655, USA
4Department of Computer Engineering, Haliç University, 34000 İstanbul, Turkey

Correspondence should be addressed to Yeliz Karaca; gro.eeei@acarak.ziley

Received 13 December 2017; Accepted 19 February 2018; Published 11 April 2018

Academic Editor: Viorel-Puiu Paun

Copyright © 2018 Yeliz Karaca 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

Yeliz Karaca, Carlo Cattani, Majaz Moonis, and Şengül Bayrak, “Stroke Subtype Clustering by Multifractal Bayesian Denoising with Fuzzy Means and -Means Algorithms,” Complexity, vol. 2018, Article ID 9034647, 15 pages, 2018. https://doi.org/10.1155/2018/9034647.