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Zamzami, Nuha, Bouguila, Nizar (2019) A Novel Scaled dirichlet-based statistical framework for count data modeling: Unsupervised learning and exponential approximation. Pattern Recognition, 95. 36-47 doi:10.1016/j.patcog.2019.05.038

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Reference TypeJournal (article/letter/editorial)
TitleA Novel Scaled dirichlet-based statistical framework for count data modeling: Unsupervised learning and exponential approximation
JournalPattern Recognition
AuthorsZamzami, NuhaAuthor
Bouguila, NizarAuthor
Year2019 (November)Volume95
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2019.05.038Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9367889Long-form Identifiermindat:1:5:9367889:8
GUID0
Full ReferenceZamzami, Nuha, Bouguila, Nizar (2019) A Novel Scaled dirichlet-based statistical framework for count data modeling: Unsupervised learning and exponential approximation. Pattern Recognition, 95. 36-47 doi:10.1016/j.patcog.2019.05.038
Plain TextZamzami, Nuha, Bouguila, Nizar (2019) A Novel Scaled dirichlet-based statistical framework for count data modeling: Unsupervised learning and exponential approximation. Pattern Recognition, 95. 36-47 doi:10.1016/j.patcog.2019.05.038
In(2019) Pattern Recognition Vol. 95. Elsevier BV

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Zamzami, Nuha, Bouguila, Nizar (2020) High-dimensional count data clustering based on an exponential approximation to the multinomial Beta-Liouville distribution. Information Sciences, 524. 116-135 doi:10.1016/j.ins.2020.03.028
Zamzami, Nuha, Alsuroji, Rua, Eromonsele, Oboh, Bouguila, Nizar (2020) Proportional data modeling via selection and estimation of a finite mixture of scaled Dirichlet distributions. Computational Intelligence, 36 (2) 459-485 doi:10.1111/coin.12246
Epaillard, Elise, Bouguila, Nizar (2019) Data-free metrics for Dirichlet and generalized Dirichlet mixture-based HMMs – A practical study. Pattern Recognition, 85. 207-219 doi:10.1016/j.patcog.2018.08.013
Ojo, Akinlolu Oluwabusayo, Bouguila, Nizar (2024) A topic modeling and image classification framework: The Generalized Dirichlet variational autoencoder. Pattern Recognition, 146. 110037 doi:10.1016/j.patcog.2023.110037
Fan, Wentao, Bouguila, Nizar (2013) Variational learning of a Dirichlet process of generalized Dirichlet distributions for simultaneous clustering and feature selection. Pattern Recognition, 46 (10). 2754-2769 doi:10.1016/j.patcog.2013.03.026
Bregu, Ornela, Zamzami, Nuha, Bouguila, Nizar (2021) Mixture‐based clustering for count data using approximated Fisher Scoring and Minorization–Maximization approaches. Computational Intelligence, 37 (1) 596-620 doi:10.1111/coin.12429
Epaillard, Elise, Bouguila, Nizar (2016) Proportional data modeling with hidden Markov models based on generalized Dirichlet and Beta-Liouville mixtures applied to anomaly detection in public areas. Pattern Recognition, 55. 125-136 doi:10.1016/j.patcog.2016.02.004
Fan, Wentao, Wang, Ru, Bouguila, Nizar (2021) Simultaneous positive sequential vectors modeling and unsupervised feature selection via continuous hidden Markov models. Pattern Recognition, 119. 108073pp. doi:10.1016/j.patcog.2021.108073
Bouguila, Nizar (2011) Bayesian hybrid generative discriminative learning based on finite Liouville mixture models. Pattern Recognition, 44 (6). 1183-1200 doi:10.1016/j.patcog.2010.12.010
Najar, Fatma, Bouguila, Nizar (2022) Exact fisher information of generalized Dirichlet multinomial distribution for count data modeling. Information Sciences, 586. 688-703 doi:10.1016/j.ins.2021.11.083
Bouguila, Nizar, ElGuebaly, Walid (2009) Discrete data clustering using finite mixture models. Pattern Recognition, 42 (1). 33-42 doi:10.1016/j.patcog.2008.06.022
 
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