Proceedings of the 3rd International Conference on Material, Mechanical and Manufacturing Engineering

Type-2 kernelized fuzzy c-means algorithm based on the uncertain width of Gaussian kernel with applications in MR image segmentation

Authors
Qinli Zhang, Yajun Bi, Zhigang Gong
Corresponding Author
Qinli Zhang
Available Online August 2015.
DOI
https://doi.org/10.2991/ic3me-15.2015.259How to use a DOI?
Keywords
KFCM; Type-2 fuzzy sets; Gaussian kernel; MR image.
Abstract
While fuzzy c-means is a popular soft clustering method, its effectiveness is largely limited to spherical clusters. By applying kernel tricks, the kernel fuzzy c-means algorithm attempts to address this problem by mapping data with nonlinear relationships to appropriate feature spaces. Kernel width is crucial for effective kernel clustering. Unfortunately, for most applications, it is not easy to find the right width. To design and manage the uncertainty for kernel width, we propose a type-2 kernelized fuzzy c-means algorithm (T2KFCM). We extend the type-1 fuzzy sets of membership to interval type-2 fuzzy sets using two widths and which creates a footprint of uncertainty for the membership. Experiments on MR (Magnetic Resonance) image are given that compare kernelized FCM (KFCM) with T2KFCM. The results show that T2KFCM compares favorably to both of the previous models.
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Proceedings
3rd International Conference on Material, Mechanical and Manufacturing Engineering (IC3ME 2015)
Part of series
Advances in Engineering Research
Publication Date
August 2015
ISBN
978-94-6252-100-1
ISSN
2352-5401
DOI
https://doi.org/10.2991/ic3me-15.2015.259How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Qinli Zhang
AU  - Yajun Bi
AU  - Zhigang Gong
PY  - 2015/08
DA  - 2015/08
TI  - Type-2 kernelized fuzzy c-means algorithm based on the uncertain width of Gaussian kernel with applications in MR image segmentation
BT  - 3rd International Conference on Material, Mechanical and Manufacturing Engineering (IC3ME 2015)
PB  - Atlantis Press
SP  - 1351
EP  - 1354
SN  - 2352-5401
UR  - https://doi.org/10.2991/ic3me-15.2015.259
DO  - https://doi.org/10.2991/ic3me-15.2015.259
ID  - Zhang2015/08
ER  -