Unsupervised Optimal Fuzzy Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
On a class of fuzzy classification maximum likelihood procedures
Fuzzy Sets and Systems
Pattern Recognition Letters - Special issue on fuzzy set technology in pattern recognition
Spatial models for fuzzy clustering
Computer Vision and Image Understanding
Suppressed fuzzy c-means clustering algorithm
Pattern Recognition Letters
Improving fuzzy c-means clustering based on feature-weight learning
Pattern Recognition Letters
Unsupervised possibilistic clustering
Pattern Recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A novel kernelized fuzzy C-means algorithm with application in medical image segmentation
Artificial Intelligence in Medicine
Fast accurate fuzzy clustering through data reduction
IEEE Transactions on Fuzzy Systems
Segmentation of color lip images by spatial fuzzy clustering
IEEE Transactions on Fuzzy Systems
Optimality test for generalized FCM and its application to parameter selection
IEEE Transactions on Fuzzy Systems
A Possibilistic Fuzzy c-Means Clustering Algorithm
IEEE Transactions on Fuzzy Systems
Mathematical and Computer Modelling: An International Journal
Fuzzy algorithms for combined quantization and dithering
IEEE Transactions on Image Processing
Novel segmentation algorithm in segmenting medical images
Journal of Systems and Software
Modified fuzzy c-means algorithm for segmentation of T1-T2-weighted brain MRI
Journal of Computational and Applied Mathematics
Extended Gaussian kernel version of fuzzy c-means in the problem of data analyzing
Expert Systems with Applications: An International Journal
Modified bias field fuzzy C-means for effective segmentation of brain MRI
Transactions on computational science VIII
Modified bias field fuzzy C-means for effective segmentation of brain MRI
Transactions on computational science VIII
Fuzzy clustering based on generalized entropy and its application to image segmentation
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part II
A spatially constrained fuzzy hyper-prototype clustering algorithm
Pattern Recognition
Fully controllable ant colony system for text data clustering
SIDE'12 Proceedings of the 2012 international conference on Swarm and Evolutionary Computation
Local gaussian distribution fitting based FCM algorithm for brain MR image segmentation
IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Kernel generalized fuzzy c-means clustering with spatial information for image segmentation
Digital Signal Processing
AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
Segmentation of brain MR images using intuitionistic fuzzy clustering algorithm
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
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Bias-corrected fuzzy c-means (BCFCM) algorithm with spatial information is especially effective in image segmentation. Since it is computationally time taking and lacks enough robustness to noise and outliers, some kernel versions of FCM with spatial constraints, such as KFCM_S"1 and KFCM_S"2, were proposed to solve those drawbacks of BCFCM. However, KFCM_S"1 and KFCM_S"2 are heavily affected by their parameters. In this paper, we present a Gaussian kernel-based fuzzy c-means algorithm (GKFCM) with a spatial bias correction. The proposed GKFCM algorithm becomes a generalized type of FCM, BCFCM, KFCM_S"1 and KFCM_S"2 algorithms and presents with more efficiency and robustness. Some numerical and image experiments are performed to assess the performance of GKFCM in comparison with FCM, BCFCM, KFCM_S"1 and KFCM_S"2. Experimental results show that the proposed GKFCM has better performance.