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A Robust Bias-Correction Fuzzy Weighted C-Ordered-Means Clustering Algorithm
Joint Authors
Zhang, Wenyuan
Huang, Tianyu
Chen, Jun
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-06-18
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
This paper proposes a modified fuzzy C-means (FCM) algorithm, which combines the local spatial information and the typicality of pixel data in a new fuzzy way.
This new algorithm is called bias-correction fuzzy weighted C-ordered-means (BFWCOM) clustering algorithm.
It can overcome the shortcomings of the existing FCM algorithm and improve clustering performance.
The primary task of BFWCOM is the use of fuzzy local similarity measures (space and grayscale).
Meanwhile, this new algorithm adds a typical analysis of data attributes to membership, in order to ensure noise insensitivity and the preservation of image details.
Secondly, the local convergence of the proposed algorithm is mathematically proved, providing a theoretical preparation for fuzzy classification.
Finally, data classification and real image experiments show the effectiveness of BFWCOM clustering algorithm, having a strong denoising and robust effect on noise images.
American Psychological Association (APA)
Zhang, Wenyuan& Huang, Tianyu& Chen, Jun. 2019. A Robust Bias-Correction Fuzzy Weighted C-Ordered-Means Clustering Algorithm. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-17.
https://search.emarefa.net/detail/BIM-1196313
Modern Language Association (MLA)
Zhang, Wenyuan…[et al.]. A Robust Bias-Correction Fuzzy Weighted C-Ordered-Means Clustering Algorithm. Mathematical Problems in Engineering No. 2019 (2019), pp.1-17.
https://search.emarefa.net/detail/BIM-1196313
American Medical Association (AMA)
Zhang, Wenyuan& Huang, Tianyu& Chen, Jun. A Robust Bias-Correction Fuzzy Weighted C-Ordered-Means Clustering Algorithm. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-17.
https://search.emarefa.net/detail/BIM-1196313
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1196313