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Hard and Fuzzy c-means Algorithms with Pairwise Constraints by Non-metric Terms., , , and . MDAI, volume 8825 of Lecture Notes in Computer Science, page 145-157. Springer, (2014)Fuzzy Classification Function of Standard Fuzzy c-Means Algorithm for Data with Tolerance Using Kernel Function., , and . MDAI, volume 5285 of Lecture Notes in Computer Science, page 122-133. Springer, (2008)Optimal Clustering with Twofold Memberships., , , and . MDAI, volume 11144 of Lecture Notes in Computer Science, page 221-231. Springer, (2018)On Cell Detection System with User Interaction., , and . MDAI, volume 10571 of Lecture Notes in Computer Science, page 195-206. Springer, (2017)On fuzzy c-means clustering for uncertain data using quadratic regularization of penalty vectors., , , and . GrC, page 148-153. IEEE Computer Society, (2009)Various Types of Objective-Based Rough Clustering., and . Fuzzy Sets, Rough Sets, Multisets and Clustering, volume 671 of Studies in Computational Intelligence, page 63-85. Springer, (2017)Comparison of Cluster Validity Measures Based x-Means., , and . J. Adv. Comput. Intell. Intell. Informatics, 20 (5): 845-853 (2016)Semi-Supervised Sequential Kernel Regression Models with Penalty Functions., , and . J. Adv. Comput. Intell. Intell. Informatics, 19 (1): 51-57 (2015)Comparison of Semi-Supervised Hierarchical Clustering Using Clusterwise Tolerance., and . J. Adv. Comput. Intell. Intell. Informatics, 16 (7): 819-824 (2012)Kernelized fuzzy c-means clustering for uncertain data using quadratic penalty-vector regularization with explicit mappings., , , and . FUZZ-IEEE, page 804-809. IEEE, (2011)