Fuzzy Clustering to Identify Clusters at Different Levels of Fuzziness: An Evolutionary Multiobjective Optimization Approach
暂无分享,去创建一个
[1] Siu Kai Choy,et al. Fuzzy model-based clustering and its application in image segmentation , 2017, Pattern Recognit..
[2] Feng Zhao,et al. Fuzzy Linear Discriminant Analysis-guided maximum entropy fuzzy clustering algorithm , 2013, Pattern Recognit..
[3] Ujjwal Maulik,et al. Clustering using Multi-objective Genetic Algorithm and its Application to Image Segmentation , 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.
[4] Christian Döring,et al. Data analysis with fuzzy clustering methods , 2006, Comput. Stat. Data Anal..
[5] Miin-Shen Yang,et al. Robust-learning fuzzy c-means clustering algorithm with unknown number of clusters , 2017, Pattern Recognit..
[6] I. Türksen,et al. Upper and lower values for the level of fuzziness in FCM , 2007, Inf. Sci..
[7] Yong Dou,et al. Optimal Neighborhood Kernel Clustering with Multiple Kernels , 2017, AAAI.
[8] Thomas A. Runkler,et al. The Generalized C Index for Internal Fuzzy Cluster Validity , 2016, IEEE Transactions on Fuzzy Systems.
[9] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[10] Jing J. Liang,et al. Economic emission dispatch problems with stochastic wind power using summation based multi-objective evolutionary algorithm , 2016, Inf. Sci..
[11] J. C. Dunn,et al. A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters , 1973 .
[12] Qian Wang,et al. The range of the value for the fuzzifier of the fuzzy c-means algorithm , 2012, Pattern Recognit. Lett..
[13] Jian Yu,et al. Analysis of the weighting exponent in the FCM , 2004, IEEE Trans. Syst. Man Cybern. Part B.
[14] J. Bezdek,et al. FCM: The fuzzy c-means clustering algorithm , 1984 .
[15] Korris Fu-Lai Chung,et al. Generalized Fuzzy C-Means Clustering Algorithm With Improved Fuzzy Partitions , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[16] Chin-Wang Tao,et al. Iris Recognition Using Possibilistic Fuzzy Matching on Local Features , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[17] Abdul Suleman,et al. A convex semi-nonnegative matrix factorisation approach to fuzzy c-means clustering , 2015, Fuzzy Sets Syst..
[18] Frank Klawonn,et al. An alternative approach to the fuzzifier in fuzzy clustering to obtain better clustering , 2003, EUSFLAT Conf..
[19] Richard Weber,et al. Soft clustering - Fuzzy and rough approaches and their extensions and derivatives , 2013, Int. J. Approx. Reason..
[20] Jian Zhuang,et al. Novel soft subspace clustering with multi-objective evolutionary approach for high-dimensional data , 2013, Pattern Recognit..
[21] Frank Klawonn,et al. What Is Fuzzy about Fuzzy Clustering? Understanding and Improving the Concept of the Fuzzifier , 2003, IDA.
[22] James C. Bezdek,et al. On cluster validity for the fuzzy c-means model , 1995, IEEE Trans. Fuzzy Syst..
[23] Kuo-Lung Wu,et al. Analysis of parameter selections for fuzzy c-means , 2012, Pattern Recognit..
[24] Matthias E. Futschik,et al. Noise-robust Soft Clustering of Gene Expression Time-course Data , 2005, J. Bioinform. Comput. Biol..
[25] Ujjwal Maulik,et al. Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part II , 2014, IEEE Transactions on Evolutionary Computation.
[26] Qingfu Zhang,et al. MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition , 2007, IEEE Transactions on Evolutionary Computation.
[27] Doulaye Dembélé,et al. Fuzzy C-means Method for Clustering Microarray Data , 2003, Bioinform..
[28] Chih-Hung Wu,et al. A New Fuzzy Clustering Validity Index With a Median Factor for Centroid-Based Clustering , 2015, IEEE Transactions on Fuzzy Systems.
[29] Ujjwal Maulik,et al. Unsupervised Pixel Classification in Satellite Imagery Using Multiobjective Fuzzy Clustering Combined With SVM Classifier , 2009, IEEE Transactions on Geoscience and Remote Sensing.
[30] M. Cugmas,et al. On comparing partitions , 2015 .
[31] Joshua D. Knowles,et al. An Evolutionary Approach to Multiobjective Clustering , 2007, IEEE Transactions on Evolutionary Computation.
[32] Gerardo Beni,et al. A Validity Measure for Fuzzy Clustering , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[33] Arturo Hernández Aguirre,et al. A Set of Test Cases for Performance Measures in Multiobjective Optimization , 2008, MICAI.
[34] Swagatam Das,et al. On the unification of possibilistic fuzzy clustering: Axiomatic development and convergence analysis , 2017, Fuzzy Sets Syst..
[35] Swagatam Das,et al. Axiomatic generalization of the membership degree weighting function for fuzzy C means clustering: Theoretical development and convergence analysis , 2017, Inf. Sci..
[36] N. Karayiannis. MECA: maximum entropy clustering algorithm , 1994, Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference.
[37] C. L. Philip Chen,et al. A Multiple-Kernel Fuzzy C-Means Algorithm for Image Segmentation , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[38] Rui-Ping Li,et al. A maximum-entropy approach to fuzzy clustering , 1995, Proceedings of 1995 IEEE International Conference on Fuzzy Systems..
[39] Jieping Ye,et al. Multi-objective Multi-view Spectral Clustering via Pareto Optimization , 2013, SDM.
[40] Qingfu Zhang,et al. The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances , 2009, 2009 IEEE Congress on Evolutionary Computation.
[41] Rui Xu,et al. Survey of clustering algorithms , 2005, IEEE Transactions on Neural Networks.
[42] Qingfu Zhang,et al. Multiobjective evolutionary algorithms: A survey of the state of the art , 2011, Swarm Evol. Comput..
[43] James C. Bezdek,et al. Pattern Recognition with Fuzzy Objective Function Algorithms , 1981, Advanced Applications in Pattern Recognition.
[44] Kuo-Lung Wu,et al. Unsupervised possibilistic clustering , 2006, Pattern Recognit..
[45] Veit Schwämmle,et al. A simple and fast method to determine the parameters for fuzzy c-means cluster analysis , 2010, Bioinform..