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Clustering interval-valued data with adaptive Euclidean and City-Block distances.

, и . Expert Syst. Appl., (2022)

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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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Characterizing visitor groups from web data streams., , , и . GrC, стр. 389-392. IEEE, (2006)Clustering interval-valued data with automatic variables weighting., и . IJCNN, стр. 1-8. IEEE, (2019)Adaptive- L_2 L 2 Batch Neural Gas., , и . ICANN (2), том 11728 из Lecture Notes in Computer Science, стр. 84-95. Springer, (2019)Symbolic data analysis tools for recommendation systems., и . Knowl. Inf. Syst., 26 (3): 385-418 (2011)Bivariate Generalized Linear Model for Interval-Valued Variables., , , , и . IJCNN, стр. 2226-2229. IEEE Computer Society, (2009)Clustering interval-valued data with adaptive Euclidean and City-Block distances., и . Expert Syst. Appl., (2022)Particle Swarm Optimization applied to relational data clustering., и . SMC, стр. 1690-1695. IEEE, (2016)Nonlinear regression model to symbolic interval-valued variables., и . SMC, стр. 1247-1252. IEEE, (2008)A new fuzzy clustering algorithm for interval-valued data based on City-Block distance., и . FUZZ-IEEE, стр. 1-6. IEEE, (2019)Fuzzy Clustering Algorithm Based on Adaptive Euclidean Distance and Entropy Regularization for Interval-Valued Data., и . ICANN (1), том 11139 из Lecture Notes in Computer Science, стр. 695-705. Springer, (2018)