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Semi-Supervised Fuzzy c-Means Algorithm by Revising Dissimilarity Between Data.

, , and . J. Adv. Comput. Intell. Intell. Informatics, 15 (1): 95-101 (2011)

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Sequential extraction of clusters for imbalanced data., and . GrC, page 281-285. IEEE Computer Society, (2013)Fuzzy Sets, Multisets, and Rough Approximations.. IUKM, volume 9376 of Lecture Notes in Computer Science, page 11-14. Springer, (2015)Generalized Agglomerative Clustering with Application to Information Systems.. MDAI, volume 5285 of Lecture Notes in Computer Science, page 158-166. Springer, (2008)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)Hard and fuzzy c-regression models for data with tolerance in independent and dependent variables., , , and . FUZZ-IEEE, page 1-8. IEEE, (2010)Semi-supervised agglomerative hierarchical clustering algorithms with pairwise constraints., and . FUZZ-IEEE, page 1-6. IEEE, (2010)Kernelized fuzzy c-means clustering for uncertain data using quadratic penalty-vector regularization with explicit mappings., , , and . FUZZ-IEEE, page 804-809. IEEE, (2011)On semi-supervised fuzzy c-means clustering., , , and . FUZZ-IEEE, page 1119-1124. IEEE, (2009)Clustering in tweets using a fuzzy neighborhood model., , and . FUZZ-IEEE, page 1-6. IEEE, (2012)Comparison and Evaluation of Different Cluster Validity Measures Including Their Kernelization., , and . J. Adv. Comput. Intell. Intell. Informatics, 13 (3): 204-209 (2009)