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Genetic Sampling k-means for Clustering Large Data Sets.

, , , and . CIARP, volume 9423 of Lecture Notes in Computer Science, page 691-698. Springer, (2015)

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An experimental methodology to evaluate machine learning methods for fault diagnosis based on vibration signals., , , , and . Expert Syst. Appl., (2021)Genetic Sampling k-means for Clustering Large Data Sets., , , and . CIARP, volume 9423 of Lecture Notes in Computer Science, page 691-698. Springer, (2015)Using GA for the stratified sampling of electricity consumers., , , , , and . IEEE Congress on Evolutionary Computation, page 261-268. IEEE, (2013)An experimental framework for evaluating loss minimization in multi-label classification via stochastic process., , and . Comput. Intell., 38 (2): 641-666 (2022)Optimization metaheuristics for minimizing variance in a real-world statistical application., , , , and . SAC, page 206-207. ACM, (2013)BIRCHSCAN: A sampling method for applying DBSCAN to large datasets., , , and . Expert Syst. Appl., (2021)One-Class Classifiers for Novelties Detection in Electrical Submersible Pumps., , , , , and . SIBGRAPI, page 402-408. IEEE, (2021)A Worst Case Analysis of Calibrated Label Ranking Multi-label Classification Method., , and . J. Mach. Learn. Res., (2022)Deep Learning Intelligent Fault Diagnosis of Electrical Submersible Pump Based on Raw Time Domain Vibration Signals., , , , , and . ISIE, page 156-163. IEEE, (2022)Metric Learning for Electrical Submersible Pump Fault Diagnosis., , , , and . IJCNN, page 1-8. IEEE, (2020)