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

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

Multifractal denoising techniques capture interest in biomedicine, economy, and signal and image processing. Regarding stroke data there are subtle details not easily detectable by eye physicians. For the stroke subtypes diagnosis, details are important due to including hidden information concerning...

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Bibliographic Details
Main Authors:	Yeliz Karaca, Carlo Cattani, Majaz Moonis, Şengül Bayrak
Format:	Article
Language:	English
Published:	Wiley 2018-01-01
Series:	Complexity
Online Access:	http://dx.doi.org/10.1155/2018/9034647
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