Computer Science ›› 2016, Vol. 43 ›› Issue (10): 297-303.doi: 10.11896/j.issn.1002-137X.2016.10.056
Previous Articles Next Articles
HOU Xiao-fan and WU Cheng-mao
[1] Yin X,Chen S,Hu E,et al.Semi-supervised clustering with metric learning:An adaptive kernel method[J].Pattern Recognition,2010,43(4):1320-1333 [2] Zhu L,Chung F L,Wang S.Generalized fuzzy c-means clustering algorithm with improved fuzzy partitions[J].IEEE Transac-tions on Systems,Man,and Cybernetics,Part B:Cybernetics,2009,39(3):578-591 [3] Tan K S,Isa N A M.Color image segmentation using histogram thresholding-Fuzzy C-means hybrid approach[J].Pattern Re-cognition,2011,44(1):1-15 [4] Li C,Huang R,Ding Z,et al.A level set method for image segmentation in the presence of intensity inhomogeneities with application to MRI[J].IEEE Transactions on Image Processing,2011,20(7):2007-2016 [5] Bezdek J C.Pattern recognition with fuzzy objectivefunction algorithms[M].New York:Plenum Press,1981:95-107 [6] Nanni L,Lumini A.FuzzyBagging:a novel ensemble of classi-fiers[J].Pattern Recognition,2006,39(3):488-490 [7] Masulli F,Rovetta S.Soft transition from probabilistic to possibilistic fuzzy clustering[J].IEEE Transactions on Fuzzy Systems,2006,4(4):516-527 [8] Celikyilmaz A,Turksen I B.Enhanced Fuzzy System ModelsWithImproved Fuzzy Clustering Algorithm[J].IEEE Transactions on Fuzzy Systems,2008,6(3):779-794 [9] Zhu L,Chung F L,Wang S.Generalized fuzzy c-means clustering algorithm with improved fuzzy partitions[J].IEEE Tran-sactions on Systems,Man,and Cybernetics,Part B:Cybernetics,2009,39(3):578-591 [10] Huang H C,Chuang Y Y,Chen C S.Multiple Kernel FuzzyClustering[J].IEEE Transactions on Fuzzy Systems,2012,0(1):120-134 [11] Lzakian H,Pedrycz W,Jamal I.Clustering spatiotemporal data:An augmented fuzzy c-means[J].IEEE Transactions on Fuzzy Systems,2013,1(5):855-868 [12] Ahmed M,Yamany S,Mohamed N,et al.A modified fuzzy C-means algorithm for bias field estimation and segmentation of MRI data[J].IEEE Transactions on Medical Imaging,2002,21(3):193-199 [13] Chen S,Zhang D.Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance mea-sure[J].IEEE Transactions on Systems,Man,and Cybernetics,Part B:Cybernetics,2004,34(4):1907-1916 [14] Cai W,Chen S,Zhang D.Fast and robust fuzzy C-means cluste-ring algorithms incorporating local information for image segmentation[J].Pattern Recognition,2007,0(3):825-838 [15] Krinidis S,Chatzis V.A Robust Fuzzy local Information C-Means Clustering Algorithm[J].IEEE Transactions on Image Processing,2010,19(5):1328-1337 [16] Anitha J,Peter J D.A spatial fuzzy based level set method for mammogram mass segmentation[C]∥2015 2nd International Conference on Electronics and Communication Systems (ICECS).IEEE,2015:1-6 [17] Liu J,Qiao S.A image segmentation algorithm based on diffe-rential evolution particle swarm optimization fuzzy c-means clustering[J].Computer Science and Information Systems,2015,12(2):873-893 [18] Zhao F,Fan J,Liu H.Optimal-selection-based suppressed fuzzy c-means clustering algorithm with self-tuning non local spatial information for image segmentation[J].Expert Systems with Applications,2014,41(9):4083-4093 [19] Li Y,Tong F,Cheng G.Image Segmentation Using FCM Optimized by Quantum Immune Clone Algorithm[C]∥2014 Fifth International Conference on Intelligent Systems Design and Engineering Applications (ISDEA).IEEE,2014:537-540 [20] Gharieb R R,Gendy G.Fuzzy C-means with a local membership KL distance for medical image segmentation[C]∥2014 Cairo International Biomedical Engineering Conference (CIBEC).IEEE,2014:47-50 [21] Ma J,Tian D,Gong M,et al.Fuzzy clustering with non-local information for image segmentation[J].International Journal of Machine Learning and Cybernetics,2014,5(6):845-859 |
No related articles found! |
|