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A-means: improving the cluster assignment phase of k-means for Big Data., , , , , , and . Int. J. Comb. Optim. Probl. Informatics, 9 (2): 3-10 (2018)Comparative Analysis of K-Means Variants Implemented in R., , , and . Computación y Sistemas, (2022)Characterization of Difficult Bin Packing Problem Instances oriented to Improve Metaheuristic Algorithms., , , and . Computación y Sistemas, (2015)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)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)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)