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Competitive Learning With Pairwise Constraints.

, , and . IEEE Trans. Neural Networks Learn. Syst., 24 (1): 164-169 (2013)

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On the influence of imputation in classification: practical issues., , , and . J. Exp. Theor. Artif. Intell., 21 (1): 43-58 (2009)Competitive Learning With Pairwise Constraints., , and . IEEE Trans. Neural Networks Learn. Syst., 24 (1): 164-169 (2013)A Feature Selection Bayesian Approach for Extracting Classification Rules with a Clustering Genetic Algorithm., , and . Appl. Artif. Intell., 17 (5-6): 489-506 (2003)Extracting rules from multilayer perceptrons in classification problems: A clustering-based approach., and . Neurocomputing, 70 (1-3): 384-397 (2006)Relative clustering validity criteria: A comparative overview., , and . Stat. Anal. Data Min., 3 (4): 209-235 (2010)A Bayesian imputation method for a clustering genetic algorithm., , and . J. Comput. Methods Sci. Eng., 11 (4): 173-183 (2011)A Scheduling Algorithm for Running Bag-of-Tasks Data Mining Applications on the Grid., , and . Euro-Par, volume 3149 of Lecture Notes in Computer Science, page 254-262. Springer, (2004)Towards Efficient Imputation by Nearest-Neighbors: A Clustering-Based Approach., , and . Australian Conference on Artificial Intelligence, volume 3339 of Lecture Notes in Computer Science, page 513-525. Springer, (2004)A Data Preparation Bayesian Approach for a Clustering Genetic Algorithm., , and . HIS, volume 87 of Frontiers in Artificial Intelligence and Applications, page 453-461. IOS Press, (2002)Probabilistic Combination of Classifier and Cluster Ensembles for Non-transductive Learning., , , , and . SDM, page 288-296. SIAM, (2013)