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iCVI-ARTMAP: Using Incremental Cluster Validity Indices and Adaptive Resonance Theory Reset Mechanism to Accelerate Validation and Achieve Multiprototype Unsupervised Representations., , и . IEEE Trans. Neural Networks Learn. Syst., 34 (12): 9757-9770 (декабря 2023)Clustering, Noise Reduction and Visualization Using Features Extracted from the Self-Organizing Map., и . IDEAL, том 8206 из Lecture Notes in Computer Science, стр. 242-251. Springer, (2013)TopoBARTMAP: Biclustering ARTMAP with or without Topological Methods in a Blood Cancer Case Study., , и . IJCNN, стр. 1-8. IEEE, (2020)An information theoretic ART for robust unsupervised learning., и . IJCNN, стр. 3023-3029. IEEE, (2016)A density-based clustering of the Self-Organizing Map using graph cut., и . CIDM, стр. 32-40. IEEE, (2014)A study on exploiting VAT to mitigate ordering effects in Fuzzy ART., и . IJCNN, стр. 1-8. IEEE, (2018)Dual Vigilance Hypersphere Adaptive Resonance Theory., , и . SSCI, стр. 2425-2532. IEEE, (2019)A Survey of Adaptive Resonance Theory Neural Network Models for Engineering Applications., , и . CoRR, (2019)Multi-prototype local density-based hierarchical clustering., и . IJCNN, стр. 1-9. IEEE, (2015)Nested monte carlo search expression discovery for the automated design of fuzzy ART category choice functions., , , , и . GECCO (Companion), стр. 171-172. ACM, (2019)