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KL-Divergence-Based and Manhattan Distance-Based Semisupervised Entropy-Regularized Fuzzy c-Means.

, , и . J. Adv. Comput. Intell. Intell. Informatics, 15 (8): 1057-1064 (2011)

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Kenjiro Miyamoto

Kenji Miyamoto

 

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An overview and new methods in fuzzy clustering.. KES (1), стр. 33-40. IEEE, (1998)Fuzzy Sets, Multisets, and Rough Approximations.. IUKM, том 9376 из Lecture Notes in Computer Science, стр. 11-14. Springer, (2015)Generalized Agglomerative Clustering with Application to Information Systems.. MDAI, том 5285 из Lecture Notes in Computer Science, стр. 158-166. Springer, (2008)Fuzzy Classification Function of Standard Fuzzy c-Means Algorithm for Data with Tolerance Using Kernel Function., , и . MDAI, том 5285 из Lecture Notes in Computer Science, стр. 122-133. Springer, (2008)On tolerant fuzzy c-means clustering and tolerant possibilistic clustering., , и . Soft Comput., 14 (5): 487-494 (2010)On Tolerant Fuzzy c-Means Clustering with L1-Regularization., , и . IFSA/EUSFLAT Conf., стр. 1152-1157. (2009)An extension of context model for representing vague knowledge., , и . IJRIS, 4 (3): 171-179 (2012)Directed Graph Representations of Association Structures: A Systematic Approach., , , , и . IEEE Trans. Syst. Man Cybern., 16 (1): 53-61 (1986)Comparison and Evaluation of Different Cluster Validity Measures Including Their Kernelization., , и . J. Adv. Comput. Intell. Intell. Informatics, 13 (3): 204-209 (2009)Kernelized fuzzy c-means clustering for uncertain data using quadratic penalty-vector regularization with explicit mappings., , , и . FUZZ-IEEE, стр. 804-809. IEEE, (2011)