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Integrating Clustering and Supervised Learning for Categorical Data Analysis.

, , and . IEEE Trans. Syst. Man Cybern. Part A, 40 (4): 664-675 (2010)

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Improved differential evolution for microarray analysis., , , and . IJDMB, 6 (1): 86-103 (2012)Rough Set Based Fuzzy K-Modes for Categorical Data., , and . SEMCCO, volume 7677 of Lecture Notes in Computer Science, page 323-330. Springer, (2012)Financial Replicator Dynamics: Emergence of Systemic-Risk-Averting Strategies., and . NetGCooP, volume 1354 of Communications in Computer and Information Science, page 211-228. Springer, (2020)Improving Modified Differential Evolution for Fuzzy Clustering., , , and . HIS, volume 734 of Advances in Intelligent Systems and Computing, page 136-146. Springer, (2017)Cancer Classification using SVM-boosted Multiobjective Differential Fuzzy Clustering., , , and . STAIRS, volume 222 of Frontiers in Artificial Intelligence and Applications, page 290-302. IOS Press, (2010)Deep Learning for Integrated Analysis of Breast Cancer Subtype Specific Multi-omics Data., , , and . TENCON, page 1917-1922. IEEE, (2018)Identification of miRNA signature using Next-Generation Sequencing data of prostate cancer., , , and . RAIT, page 528-533. IEEE, (2016)PMAFC: A New Probabilistic Memetic Algorithm Based Fuzzy Clustering., , and . ISMIS, volume 6804 of Lecture Notes in Computer Science, page 602-611. Springer, (2011)Random Fixed Points, Limits and Systemic Risk., , and . CDC, page 5813-5819. IEEE, (2018)Application of RotaSVM for HLA Class II Protein-Peptide Interaction Prediction., , , , , , and . BIOINFORMATICS, page 178-185. SciTePress, (2014)