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Machine learning based study for the classification of Type 2 diabetes mellitus subtypes., , , , and . BioData Min., (January 2023)Método de clustering basado en el principio de máxima entropia. UNAM, Mexico, (2015)The Best Genetic Algorithm I - A Comparative Study of Structurally Different Genetic Algorithms., and . MICAI (2), volume 8266 of Lecture Notes in Computer Science, page 1-15. Springer, (2013)Machine Learning-Based Decision Making in Evolutionary Multiobjective Clustering., , , and . MICAI (1), volume 13612 of Lecture Notes in Computer Science, page 123-137. Springer, (2022)Georeference Assignment of Locations based on Context., , , and . iGISc, volume 13 of Kalpa Publications in Computing, page 39-46. EasyChair, (2019)The Best Genetic Algorithm II - A Comparative Study of Structurally Different Genetic Algorithms., , and . MICAI (2), volume 8266 of Lecture Notes in Computer Science, page 16-29. Springer, (2013)Finding the Optimal Sample Based on Shannon's Entropy and Genetic Algorithms., and . MICAI (1), volume 9413 of Lecture Notes in Computer Science, page 353-363. Springer, (2015)A flexible framework for coding and predicting acute hypotensive episodes using Markov chains., , , , and . Knowl. Based Syst., (2024)Finding Irregularly Shaped Clusters Based on Entropy., and . ICDM, volume 6171 of Lecture Notes in Computer Science, page 57-70. Springer, (2010)A content spectral-based analysis for authorship verification., , , , , and . CLEF (Working Notes), volume 3180 of CEUR Workshop Proceedings, page 2416-2425. CEUR-WS.org, (2022)