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Crisp and Soft Clustering of Mobile Calls.

, , , , and . MIWAI, volume 7080 of Lecture Notes in Computer Science, page 147-158. Springer, (2011)

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Rough Cluster Quality Index Based on Decision Theory., , and . IEEE Trans. Knowl. Data Eng., 21 (7): 1014-1026 (2009)Decremental Rough Possibilistic K-Modes., , and . ICAIS, volume 8779 of Lecture Notes in Computer Science, page 50-59. Springer, (2014)Analysis of User-Weighted π Rough k-Means., and . RSKT, volume 8818 of Lecture Notes in Computer Science, page 547-556. Springer, (2014)Towards Implementing Valuation Based Systems with Relational Databases., , and . ISMIS, volume 542 of Lecture Notes in Computer Science, page 172-182. Springer, (1991)Propagation of knowledge from crisp and soft clustering through a granular hierarchy., , , , and . HIS, page 6-11. IEEE, (2012)Clustering Ensemble for Prioritized Sampling Based on Average and Rough Patterns., , , , and . ISMIS, volume 10352 of Lecture Notes in Computer Science, page 530-539. Springer, (2017)Evidential Clustering or Rough Clustering: The Choice Is Yours., and . RSKT, volume 7414 of Lecture Notes in Computer Science, page 123-128. Springer, (2012)History of Set Theory and Its Extensions in the Context of Soft Computing., and . RSKT, volume 6954 of Lecture Notes in Computer Science, page 25. Springer, (2011)Dynamic Reduct from Partially Uncertain Data Using Rough Sets., , and . RSFDGrC, volume 5908 of Lecture Notes in Computer Science, page 160-167. Springer, (2009)The K-Modes Method under Possibilistic Framework., , and . Canadian AI, volume 7884 of Lecture Notes in Computer Science, page 211-217. Springer, (2013)