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Kernelized fuzzy c-means clustering for uncertain data using quadratic penalty-vector regularization with explicit mappings.

, , , and . FUZZ-IEEE, page 804-809. IEEE, (2011)

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On fuzzy c-means clustering for uncertain data using quadratic regularization of penalty vectors., , , and . GrC, page 148-153. IEEE Computer Society, (2009)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)Comparison of Cluster Validity Measures Based x-Means., , and . J. Adv. Comput. Intell. Intell. Informatics, 20 (5): 845-853 (2016)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 Linear Clustering with Constraints on Cluster Size., and . SCIS&ISIS, page 832-836. IEEE, (2018)A Note on Brake System of Train Set with Wheel Slide Protection System., , , and . SCIS&ISIS, page 597-602. IEEE, (2018)A Study on Controlled Node Sized Network Clustering for Unweighted Network Data., , and . SCIS&ISIS, page 826-831. IEEE, (2018)A Method of Two-Stage Clustering Based on Cluster Validity Measures., , and . SCIS&ISIS, page 410-415. IEEE, (2016)On new sequential hard c-medoids., and . SCIS&ISIS, page 489-494. IEEE, (2014)