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Analysis of User-Weighted π Rough k-Means.

, and . RSKT, volume 8818 of Lecture Notes in Computer Science, page 547-556. Springer, (2014)

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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)The K-Modes Method under Possibilistic Framework., , and . Canadian AI, volume 7884 of Lecture Notes in Computer Science, page 211-217. Springer, (2013)Fuzzy C-Means Clustering of Web Users for Educational Sites., , and . AI, volume 2671 of Lecture Notes in Computer Science, page 557-562. Springer, (2003)Dynamic Reduct from Partially Uncertain Data Using Rough Sets., , and . RSFDGrC, volume 5908 of Lecture Notes in Computer Science, page 160-167. Springer, (2009)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)Decremental Rough Possibilistic K-Modes., , and . ICAIS, volume 8779 of Lecture Notes in Computer Science, page 50-59. 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)Compatibility of Quantitative and Qualitative Representations of Belief., , and . UAI, page 418-424. Morgan Kaufmann, (1991)