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The DRk-M for Clustering Categorical Datasets With Uncertainty.

, , and . IEEE Intell. Syst., 36 (5): 113-121 (2021)

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A fast and effective partitional clustering algorithm for large categorical datasets using a k-means based approach., , and . Comput. Electr. Eng., (2018)The DRk-M for Clustering Categorical Datasets With Uncertainty., , and . IEEE Intell. Syst., 36 (5): 113-121 (2021)Uncertainty mode selection in categorical clustering using the rough set theory., , and . Expert Syst. Appl., (2020)Clustering Categorical Data: A Survey., , and . Int. J. Inf. Technol. Decis. Mak., 19 (1): 49-96 (2020)Multi-class Sentiment Classification with Machine Learning on Online Social Networks for the Tunisian Dialect., , and . ICAART (2), page 174-182. SCITEPRESS, (2022)Tuniset: The Tunisian Dataset for Emotion Analysis on Online Social Networks., , and . ICAART (2), page 164-173. SCITEPRESS, (2022)Towards reducing the multidimensionality of OLAP cubes using the Evolutionary Algorithms and Factor Analysis Methods., and . CoRR, (2016)A rough set based algorithm for updating the modes in categorical clustering., , and . Int. J. Mach. Learn. Cybern., 12 (7): 2069-2090 (2021)Multi-task Learning Dataset for the Development of Remote Patient Monitoring System., , , , , and . ICCCI, volume 13501 of Lecture Notes in Computer Science, page 548-554. Springer, (2022)