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CGMVAE: Coupling GMM Prior and GMM Estimator for Unsupervised Clustering and Disentanglement

Gu, C, Xie, H, Lu, Xuequan and Zhang, C 2021, CGMVAE: Coupling GMM Prior and GMM Estimator for Unsupervised Clustering and Disentanglement, IEEE Access, vol. 9, pp. 65140-65149, doi: 10.1109/ACCESS.2021.3076073.

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Title CGMVAE: Coupling GMM Prior and GMM Estimator for Unsupervised Clustering and Disentanglement
Author(s) Gu, C
Xie, H
Lu, XuequanORCID iD for Lu, Xuequan orcid.org/0000-0003-0959-408X
Zhang, C
Journal name IEEE Access
Volume number 9
Start page 65140
End page 65149
Total pages 10
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2021
ISSN 2169-3536
2169-3536
Keyword(s) Science & Technology
Technology
Computer Science, Information Systems
Engineering, Electrical & Electronic
Telecommunications
Computer Science
Engineering
Artificial neural networks
Aerospace electronics
Training
Principal component analysis
Predictive models
Prediction algorithms
Optimization
Deep unsupervised clustering
feature disentanglement
Gaussian mixture model
Dirichlet conjugate loss
Language eng
DOI 10.1109/ACCESS.2021.3076073
Indigenous content off
Field of Research 08 Information and Computing Sciences
09 Engineering
10 Technology
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30151425

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.