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Spatial Data Mining of a Population-Based Data Warehouse of Cancer in Mexico.

, , , , , and . Int. J. Comb. Optim. Probl. Informatics, 1 (1): 61-67 (2010)

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Improvement to the K-Means algorithm through a heuristics based on a bee honeycomb structure., , , , , and . NaBIC, page 175-180. IEEE, (2012)A visual tool for analyzing the behavior of metaheuristic algorithms., , , , , and . Int. J. Comb. Optim. Probl. Informatics, 3 (2): 31-43 (2012)Early Classification: A New Heuristic to Improve the Classification Step of K-Means., , , , and . SBBD (Short Papers), page 185-192. SBC, (2012)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)Early Classification: A New Heuristic to Improve the Classification Step of K-Means, , , , and . Proceedings of the 27th Brazilian Symposium on Databases (SBBD), page 185-192. (2012)Early Classification: A New Heuristic to Improve the Classification Step of K-Means., , , , and . J. Inf. Data Manag., 4 (2): 94-103 (2013)A Tool for Solving the CVRP Problem by Applying the Tabu Search Algorithm., , , , and . 3PGCIC, volume 189 of Lecture Notes on Data Engineering and Communications Technologies, page 294-304. Springer, (2023)Identifying stable objects for accelerating the classification phase of k-means., , , , , , and . 3PGCIC, volume 1 of Lecture Notes on Data Engineering and Communications Technologies, page 903-912. Springer, (2016)Paradox of the Transformation between the Partition and the Bin Packing Problems, , , , and . Mexican Journal of Operations Research, 1 (1): 45-54 (2012)Spatial Data Mining of a Population-Based Data Warehouse of Cancer in Mexico, , , , , and . International Journal of Combinatorial Optimization Problems and Informatics, 1 (1): 61-67 (2010)