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Kernel-based fuzzy clustering of interval data., , and . FUZZ-IEEE, page 497-501. IEEE, (2011)Evaluation of performance and scalability of routing protocols for VANETs on the Manhattan Mobility Model., , , and . LCN Workshops, page 686-693. IEEE Computer Society, (2012)A partitioning method for symbolic interval data based on kernelized metric., , and . CIKM, page 2189-2192. ACM, (2011)Enabling high-level network programming: A northbound API for Software-Defined Networks., , , and . ICOIN, page 662-667. IEEE, (2017)Evaluating live virtual machine migration overhead on client's application perspective., , , , and . ICOIN, page 503-508. IEEE, (2017)VANETs' research over the past decade: overview, credibility, and trends., , , , and . Comput. Commun. Rev., 48 (2): 31-39 (2018)An Experimental Study on Virtual Machine Live Migration Impact on Services Performance., , , , , , and . Comput. Informatics, 38 (2): 291-320 (2019)Clustering interval data through kernel-induced feature space., , and . J. Intell. Inf. Syst., 40 (1): 109-140 (2013)Input space versus feature space in kernel-based interval fuzzy C-Means clustering., , and . IJCNN, page 1-7. IEEE, (2015)A kernel k-means clustering method for symbolic interval data., , and . IJCNN, page 1-6. IEEE, (2010)