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Clustering of symbolic interval data based on a single adaptive L1 distance., , and . IJCNN, page 224-229. IEEE, (2007)Batch SOM algorithms for interval-valued data with automatic weighting of the variables., , and . Neurocomputing, (2016)A multi-view relational fuzzy c-medoid vectors clustering algorithm., , and . Neurocomputing, (2015)On Combining Fuzzy C-Regression Models and Fuzzy C-Means with Automated Weighting of the Explanatory Variables., and . FUZZ-IEEE, page 1-8. IEEE, (2018)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)Fuzzy clustering Algorithm based on Adaptive City-block distance and Entropy Regularization., and . FUZZ-IEEE, page 1-8. IEEE, (2018)A Multiview Clustering Approach for Mining Authorial Affinities in Literary Texts., , and . BRACIS, page 818-823. IEEE, (2019)Application of a Hybrid Classifier to the Recognition of Petrochemical Odors., , , , and . HIS, page 78-83. IEEE Computer Society, (2007)