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Guest Editorial Special Issue on Granular/Symbolic Data Processing.

, , , and . IEEE Trans. Cybern., 46 (2): 342-343 (2016)

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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)Comparing Metrics in Fuzzy Clustering for Symbolic Data on SODAS Format., , , and . IBERAMIA, volume 3315 of Lecture Notes in Computer Science, page 727-736. Springer, (2004)On Combining Clusterwise Linear Regression and K-Means with Automatic Weighting of the Explanatory Variables., and . ICANN (2), volume 10614 of Lecture Notes in Computer Science, page 402-410. Springer, (2017)A Modal Symbolic Classifier for Interval Data., , , and . ICONIP (2), volume 4233 of Lecture Notes in Computer Science, page 50-59. Springer, (2006)Clustering of symbolic interval data based on a single adaptive L1 distance., , and . IJCNN, page 224-229. IEEE, (2007)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)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)Partitioning fuzzy clustering algorithms for interval-valued data based on Hausdorff distances., and . SMC, page 1379-1384. IEEE, (2012)