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Comparison of Cluster Validity Measures Based x-Means.

, , and . J. Adv. Comput. Intell. Intell. Informatics, 20 (5): 845-853 (2016)

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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)On semi-supervised fuzzy c-means clustering., , , and . FUZZ-IEEE, page 1119-1124. IEEE, (2009)Hard and fuzzy c-regression models for data with tolerance in independent and dependent variables., , , and . FUZZ-IEEE, page 1-8. 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)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)On new sequential hard c-medoids., and . SCIS&ISIS, page 489-494. IEEE, (2014)A Study on Clustering Unweighted Network Data and Its Evaluation Using Cluster Validity Measure., and . SCIS&ISIS, page 648-653. 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 tolerant fuzzy c-means clustering and tolerant possibilistic clustering., , and . Soft Comput., 14 (5): 487-494 (2010)