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Learning of Multivariate Beta Mixture Models via Entropy-based component splitting.

, , , and . SSCI, page 2825-2832. IEEE, (2019)

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Proportional data modeling via entropy-based variational bayes learning of mixture models., , , and . Appl. Intell., 47 (2): 473-487 (2017)A Robust Approach for Multivariate Binary Vectors Clustering and Feature Selection., , and . ICONIP (2), volume 7063 of Lecture Notes in Computer Science, page 125-132. Springer, (2011)An Infinite Mixture of Inverted Dirichlet Distributions., and . ICONIP (2), volume 7063 of Lecture Notes in Computer Science, page 71-78. Springer, (2011)Asymmetric Gaussian Mixtures with Reversible Jump MCMC., and . CCECE, page 1-4. IEEE, (2018)Background subtraction using infinite asymmetric Gaussian mixture models with simultaneous feature selection., , and . IET Image Process., 14 (11): 2321-2332 (2020)Probabilistic Modeling for Frequency Vectors Using a Flexible Shifted-Scaled Dirichlet Distribution Prior., and . ACM Trans. Knowl. Discov. Data, 14 (6): 69:1-69:35 (2020)A topic modeling and image classification framework: The Generalized Dirichlet variational autoencoder., and . Pattern Recognit., (February 2024)Bounded Generalized Gaussian Mixture Model with ICA., and . Neural Process. Lett., 49 (3): 1299-1320 (2019)Online Learning for Two Novel Latent Topic Models., and . ICT-EurAsia, volume 8407 of Lecture Notes in Computer Science, page 286-295. Springer, (2014)Dimensionality Reduction of Proportional Data Through Data Separation Using Dirichlet Distribution., and . ICIAR, volume 9164 of Lecture Notes in Computer Science, page 141-149. Springer, (2015)