Unsupervised Approach Data Analysis Based on Fuzzy Possibilistic Clustering: Application to Medical Image MRI
Autor: | Driss Aboutajdine, Mohamed Ouadou, Nour-eddine El harchaoui, Ahmed Hammouch, Mounir Ait Kerroum |
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Jazyk: | angličtina |
Rok vydání: | 2013 |
Předmět: |
Fuzzy classification
Article Subject General Computer Science Computer science General Mathematics computer.software_genre lcsh:Computer applications to medicine. Medical informatics Fuzzy logic Pattern Recognition Automated lcsh:RC321-571 Fuzzy Logic Image Processing Computer-Assisted Cluster Analysis Humans Cluster analysis lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry Uncertain data General Neuroscience Probabilistic logic General Medicine Models Theoretical Magnetic Resonance Imaging Statistical classification ComputingMethodologies_PATTERNRECOGNITION Fuzzy set operations lcsh:R858-859.7 Data mining computer Algorithms Membership function Research Article |
Zdroj: | Computational Intelligence and Neuroscience, Vol 2013 (2013) Computational Intelligence and Neuroscience |
ISSN: | 1687-5273 1687-5265 |
Popis: | The analysis and processing of large data are a challenge for researchers. Several approaches have been used to model these complex data, and they are based on some mathematical theories: fuzzy, probabilistic, possibilistic, and evidence theories. In this work, we propose a new unsupervised classification approach that combines the fuzzy and possibilistic theories; our purpose is to overcome the problems of uncertain data in complex systems. We used the membership function of fuzzy c-means (FCM) to initialize the parameters of possibilistic c-means (PCM), in order to solve the problem of coinciding clusters that are generated by PCM and also overcome the weakness of FCM to noise. To validate our approach, we used several validity indexes and we compared them with other conventional classification algorithms: fuzzy c-means, possibilistic c-means, and possibilistic fuzzy c-means. The experiments were realized on different synthetics data sets and real brain MR images. |
Databáze: | OpenAIRE |
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