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Fuzzy clustering algorithms with distance metric learning and entropy regularization.

, and . Appl. Soft Comput., 113 (Part): 107922 (2021)

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Clustering of symbolic interval data based on a single adaptive L1 distance., , and . IJCNN, page 224-229. IEEE, (2007)Un algorithme de classification automatique pour des données relationnelles multivues., , , and . EGC, volume RNTI-E-23 of Revue des Nouvelles Technologies de l'Information, page 125-136. Hermann-Éditions, (2012)Fuzzy K-means clustering algorithms for interval-valued data based on adaptive quadratic distances., and . Fuzzy Sets Syst., 161 (23): 2978-2999 (2010)A Symbolic Hybrid Approach to Face the New User Problem in Recommender Systems., and . Australian Conference on Artificial Intelligence, volume 3339 of Lecture Notes in Computer Science, page 1011-1016. Springer, (2004)Fuzzy clustering of distribution-valued data using an adaptive L2 Wasserstein distance., , and . FUZZ-IEEE, page 1-8. IEEE, (2015)Unsupervised pattern recognition models for mixed feature-type symbolic data., and . Pattern Recognit. Lett., 31 (5): 430-443 (2010)A Fuzzy Clustering Algorithm with Multi-medoids for Multi-view Relational Data., and . ISNN (1), volume 11554 of Lecture Notes in Computer Science, page 469-477. Springer, (2019)A Multiview Clustering Approach for Mining Authorial Affinities in Literary Texts., , and . BRACIS, page 818-823. IEEE, (2019)Fuzzy clustering Algorithm based on Adaptive City-block distance and Entropy Regularization., and . FUZZ-IEEE, page 1-8. IEEE, (2018)Application of a Hybrid Classifier to the Recognition of Petrochemical Odors., , , , and . HIS, page 78-83. IEEE Computer Society, (2007)