The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Gaussian parsimonious clustering models
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Citations
Cites
Maximum Likelihood from Incomplete Data Via the EM Algorithm
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1977.tb01600.x · Cited by 50,444
Partial residuals for the proportional hazards regression model
SCHOENFELD, D. (1982) · Biometrika · doi:10.1093/biomet/69.1.239 · Cited by 3,111
Cited by
Yu, G., Sapiro, G., & Mallat, S. (2012) · IEEE Transactions on Image Processing · doi:10.1109/tip.2011.2176743 · Cited by 561
High-dimensional data clustering
Bouveyron, C., Girard, S., & Schmid, C. (2007) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2007.02.009 · Cited by 382
An Approach for Determining the Number of Clusters in a Model-Based Cluster Analysis
Akogul, S., & Erisoglu, M. (2017) · Entropy · doi:10.3390/e19090452 · Cited by 269
Gaussian mixture clustering and imputation of microarray data
Ouyang, M., Welsh, W. J., & Georgopoulos, P. (2004) · Bioinformatics · doi:10.1093/bioinformatics/bth007 · Cited by 202
Model-based clustering of meta-analytic functional imaging data
Neumann, J., Cramon, D. Y. V., & Lohmann, G. (2008) · Human Brain Mapping · doi:10.1002/hbm.20380 · Cited by 57
Metadata
- Authors
- Celeux, G., & Govaert, G.
- Venue
- Pattern Recognition
- Publisher
- Elsevier BV
- Published
- 1995-05
- Volume
- 28
- Issue
- 5
- Pages
- 781-793
- ISSN
- 0031-3203 (ISSN-L)
- OpenAlex
- W1975120776
- Cited by
- 872
- References
- 2
- FWCI
- 8.14
- Type
- journal article
- Language
- en
- Open access
- green
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- The paper
- Celeux, G., & Govaert, G. (1995). Gaussian parsimonious clustering models. Pattern Recognition. https://doi.org/10.1016/0031-3203(94)00125-6
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
