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Improving the Efficiency of the K-medoids Clustering Algorithm by Getting Initial Medoids., , , , , , and . WorldCIST (1), volume 569 of Advances in Intelligent Systems and Computing, page 125-132. Springer, (2017)Corrosion Analysis Through an Adaptive Preprocessing Strategy Using The K-Means Algorithm., , , , , , and . CENTERIS/ProjMAN/HCist, page 586-595. Elsevier, (2022)Shortest-length and coarsest-granularity constructs vs. reducts: An experimental evaluation., , and . Int. J. Approx. Reason., (2024)Towards Selecting Reducts for Building Decision Rules for Rule-Based Classifiers., , , and . MCPR, volume 12088 of Lecture Notes in Computer Science, page 67-75. Springer, (2020)A New Criterion for Improving Convergence of Fuzzy C-Means Clustering., , , , , , and . Axioms, 13 (1): 35 (January 2024)An Efficient Heuristic Applied to the K-means Algorithm for the Clustering of Large Highly-Grouped Instances., , , , , , and . Computación y Sistemas, (2018)Hybrid Fuzzy C-Means Clustering Algorithm Oriented to Big Data Realms., , , , , , and . Axioms, 11 (8): 377 (2022)Influence of Transfer Entropy in the Short-Term Prediction of Financial Time Series Using an ∊-Machine., , , , and . Entropy, 24 (8): 1049 (2022)Prediction of Diabetes Mortality in Mexico City Applying Data Science., , , , , , and . IWAIPR, volume 13055 of Lecture Notes in Computer Science, page 211-218. Springer, (2021)Grey-Fuzzy Approach to Support the Optimisation of the Shot Peening Process., , , and . MICAI, volume 11835 of Lecture Notes in Computer Science, page 377-390. Springer, (2019)