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Semantically Segmented Clustering Based on Possibilistic and Rough Set Theories.

, , and . Int. J. Intell. Syst., 30 (6): 676-706 (2015)

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A New Possibilistic Clustering Method: The Possibilistic K-Modes., and . AI*IA, volume 6934 of Lecture Notes in Computer Science, page 413-419. Springer, (2011)From Crisp to Soft Possibilistic and Rough Meta-clustering of Retail Datasets., and . ISDA, volume 736 of Advances in Intelligent Systems and Computing, page 485-495. Springer, (2017)Selection of Initial Modes for Rough Possibilistic K-Modes Methods., and . ISMIS, volume 10352 of Lecture Notes in Computer Science, page 77-86. Springer, (2017)Semantically Segmented Clustering Based on Possibilistic and Rough Set Theories., , and . Int. J. Intell. Syst., 30 (6): 676-706 (2015)Decremental Possibilistic K-Modes., , and . SCAI, volume 257 of Frontiers in Artificial Intelligence and Applications, page 15-24. IOS Press, (2013)Incremental Rough Possibilistic K-Modes., , and . MIWAI, volume 8271 of Lecture Notes in Computer Science, page 13-24. Springer, (2013)Rough possibilistic meta-clustering of retail datasets., , and . DSAA, page 177-183. IEEE, (2014)The k-modes method using possibility and rough set theories., , and . IFSA/NAFIPS, page 1297-1302. IEEE, (2013)Incremental Possibilistic K-Modes., , and . RSFDGrC, volume 8170 of Lecture Notes in Computer Science, page 293-303. Springer, (2013)Meta-clustering of possibilistically segmented retail datasets., , and . Fuzzy Sets Syst., (2016)