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A Semi-supervised Incremental Clustering Algorithm for Streaming Data.

, , and . PAKDD (1), volume 7301 of Lecture Notes in Computer Science, page 578-590. Springer, (2012)

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Quality Scheme Assessment in the Clustering Process., , and . PKDD, volume 1910 of Lecture Notes in Computer Science, page 265-276. Springer, (2000)QGraph: A Quality Assessment Index for Graph Clustering., and . ECIR (2), volume 11438 of Lecture Notes in Computer Science, page 70-77. Springer, (2019)UMiner: A Data Mining System Handling Uncertainty and Quality., , and . EDBT, volume 2287 of Lecture Notes in Computer Science, page 762-765. Springer, (2002)DsUniPi: An SVM-based Approach for Sentiment Analysis of Figurative Language on Twitter., , and . SemEval@NAACL-HLT, page 709-713. The Association for Computer Linguistics, (2015)Clustering validity assessment using multi representatives, and . SETN Conference, (2002)A clustering framework based on subjective and objective validity criteria., , , , and . ACM Trans. Knowl. Discov. Data, 1 (4): 4:1-4:25 (2008)A Framework for Semi-Supervised Learning Based on Subjective and Objective Clustering Criteria., , , , and . ICDM, page 637-640. IEEE Computer Society, (2005)Optimization of Multi-stakeholder Recommender Systems for Diversity and Coverage., and . AIAI, volume 627 of IFIP Advances in Information and Communication Technology, page 703-714. Springer, (2021)Hierarchical Clustering.. Encyclopedia of Database Systems (2nd ed.), Springer, (2018)Uncertainty handling in the data mining process with fuzzy logic., and . FUZZ-IEEE, page 393-398. IEEE, (2000)