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Multi-view Clustering on Relational Data.

, , , и . EGC (best of volume), том 527 из Studies in Computational Intelligence, стр. 37-51. Springer, (2012)

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Luiz Cláudio ˜deœ Carvalho

Irene Melo de Carvalho

Crícia de Carvalho Rodegheri

Sheron Francisco de Oliveira

Sheron Francisco De Oliveira

 

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ActiveCP: A Method for Speeding up User Preferences Acquisition in Collaborative Filtering Systems., , , и . SBIA, том 2507 из Lecture Notes in Computer Science, стр. 237-247. Springer, (2002)Fuzzy c-means clustering methods for symbolic interval data.. Pattern Recognit. Lett., 28 (4): 423-437 (2007)A batch self-organizing maps algorithm based on adaptive distances., и . IJCNN, стр. 2297-2304. IEEE, (2011)Fuzzy clustering of multi-view relational data with pairwise constraints., и . FUZZ-IEEE, стр. 1-6. IEEE, (2017)An adaptive semi-supervised fuzzy clustering algorithm based on objective function optimization., и . FUZZ-IEEE, стр. 1-8. IEEE, (2012)Fuzzy clustering algorithm with automatic variable selection and entropy regularization., и . FUZZ-IEEE, стр. 1-6. IEEE, (2017)Collaborative Filtering Based on Modal Symbolic User Profiles: Knowing You in the First Meeting., , и . IBERAMIA, том 3315 из Lecture Notes in Computer Science, стр. 235-245. Springer, (2004)A Classifier for Quantitative Feature Values Based on a Region Oriented Symbolic Approach., , и . IBERAMIA, том 3315 из Lecture Notes in Computer Science, стр. 464-473. Springer, (2004)A dynamical clustering method for symbolic interval data based on a single adaptive Euclidean distance., , и . SBRN, стр. 42-47. IEEE Computer Society, (2006)Guest Editorial Special Issue on Granular/Symbolic Data Processing., , , и . IEEE Trans. Cybern., 46 (2): 342-343 (2016)