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Dynamic Feature Selection Based on Clustering Algorithm and Individual Similarity.

, , , and . ICANN (2), volume 10614 of Lecture Notes in Computer Science, page 467-474. Springer, (2017)

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Dynamic Feature Selection Based on Clustering Algorithm and Individual Similarity., , , and . ICANN (2), volume 10614 of Lecture Notes in Computer Science, page 467-474. Springer, (2017)An unsupervised-based dynamic feature selection for classification tasks., , , and . IJCNN, page 4213-4220. IEEE, (2016)Population-based bio-inspired algorithms for cluster ensembles optimization., , , , and . Nat. Comput., 19 (3): 515-532 (2020)New Approach for Clustering Relational Data Based on Relationship and Attribute Information., , , and . ICANN (2), volume 7553 of Lecture Notes in Computer Science, page 451-458. Springer, (2012)Two Novel Approaches for Automatic Labelling in Semi-Supervised Methods., , , , , and . IJCNN, page 1-8. IEEE, (2020)An exploratory analysis of a dynamic ensemble structure using an automatic decision process., , , and . ICMLA, page 872-875. IEEE, (2022)Instance Hardness as a Decision Criterion on Dynamic Ensemble Structure., , , and . BRACIS, page 108-113. IEEE, (2019)A Novel Evolutionary Algorithm for Automated Machine Learning Focusing on Classifier Ensembles., , , and . BRACIS, page 462-467. IEEE Computer Society, (2018)A hierarchical approach to represent relational data applied to clustering tasks., , , , and . IJCNN, page 3055-3062. IEEE, (2011)Introducing Affective Agents in Recommendation Systems Based on Relational Data Clustering., , , , , and . DEXA (2), volume 6861 of Lecture Notes in Computer Science, page 303-310. Springer, (2011)