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Towards hybrid clustering approach to data classification: Multiple kernels based interval-valued Fuzzy C-Means algorithms.

, , , and . Fuzzy Sets Syst., (2015)

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Genetic Based Interval Type-2 Fuzzy C-Means Clustering., , and . ICCASA, volume 109 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 239-248. Springer, (2012)An Approach in Designing Hierarchy of Fuzzy Behaviors for Mobile Robot Navigation., , , and . J. Adv. Comput. Intell. Intell. Informatics, 11 (3): 268-275 (2007)GMKIT2-FCM: A Genetic-based improved Multiple Kernel Interval Type-2 FUzzy C-means clustering., , and . CYBCONF, page 104-109. IEEE, (2013)Refinement geometric algorithms for type-2 fuzzy set operations., , , and . FUZZ-IEEE, page 866-871. IEEE, (2009)Fuzzy C-Medoids Clustering Based on Interval Type-2 Inituitionistic Fuzzy Sets., , , , , and . RIVF, page 1-5. IEEE, (2021)Towards hybrid clustering approach to data classification: Multiple kernels based interval-valued Fuzzy C-Means algorithms., , , and . Fuzzy Sets Syst., (2015)Feature-reduction fuzzy co-clustering approach for hyper-spectral image analysis., , , and . Knowl. Based Syst., (2021)Extending Fuzzy Directional Relationship and Applying for Mobile Robot Collision Avoidance Behavior., , , and . J. Adv. Comput. Intell. Intell. Informatics, 10 (4): 444-450 (2006)Speedup of Interval Type 2 Fuzzy Logic Systems Based on GPU for Robot Navigation., , , and . Adv. Fuzzy Syst., (2012)A New Assessment of Cluster Tendency Ensemble approach for Data Clustering., , , and . SoICT, page 216-221. ACM, (2018)