Parsimonious Gaussian mixture models of general family for binned data clustering: Mixture approach
- DOI
- 10.1109/sami.2012.6208974
- Published
- 2012-01
- Container
- 2012 IEEE 10th International Symposium on Applied Machine Intelligence and Informatics (SAMI)
- Publisher
- IEEE
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/sami.2012.6208974,
title = {Parsimonious Gaussian mixture models of general family for binned data clustering: Mixture approach},
author = {Jingwen Wu and Hani Hamdan},
year = {2012},
journal = {2012 IEEE 10th International Symposium on Applied Machine Intelligence and Informatics (SAMI)},
doi = {10.1109/sami.2012.6208974},
url = {https://doi.org/10.1109/sami.2012.6208974}
}RIS
TY - JOUR TI - Parsimonious Gaussian mixture models of general family for binned data clustering: Mixture approach AU - Jingwen Wu AU - Hani Hamdan PY - 2012 JO - 2012 IEEE 10th International Symposium on Applied Machine Intelligence and Informatics (SAMI) DO - 10.1109/sami.2012.6208974 UR - https://doi.org/10.1109/sami.2012.6208974 ER -
APA
Wu, J., & Hamdan, H. (2012). Parsimonious Gaussian mixture models of general family for binned data clustering: Mixture approach. 2012 IEEE 10th International Symposium on Applied Machine Intelligence and Informatics (SAMI). https://doi.org/10.1109/sami.2012.6208974
Source records
- crossref · retrieved 2026-09-24T23:28:56.091Z