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To cite package 'otrimle' in publications use:
Coretto P, Hennig C (2021). otrimle: Robust Model-Based Clustering. R package version 2.0.
Coretto P, Hennig C (2016). “Robust improper maximum likelihood: tuning, computation, and a comparison with other methods for robust Gaussian clustering.” Journal of the American Statistical Association, 111(516), 1648–1659. doi:10.1080/01621459.2015.1100996.
Coretto P, Hennig C (2016). “Consistency, breakdown robustness, and algorithms for robust improper maximum likelihood clustering.” Journal of Machine Learning Research, 18(142), 1–39. https://jmlr.org/papers/v18/16-382.html.
Corresponding BibTeX entries:
@Manual{, title = {otrimle: Robust Model-Based Clustering}, author = {Pietro Coretto and Christian Hennig}, year = {2021}, note = {R package version 2.0}, }
@Article{, title = {Robust improper maximum likelihood: tuning, computation, and a comparison with other methods for robust Gaussian clustering}, author = {Pietro Coretto and Christian Hennig}, year = {2016}, journal = {Journal of the American Statistical Association}, volume = {111}, number = {516}, pages = {1648--1659}, doi = {10.1080/01621459.2015.1100996}, }
@Article{, title = {Consistency, breakdown robustness, and algorithms for robust improper maximum likelihood clustering}, author = {Pietro Coretto and Christian Hennig}, year = {2016}, journal = {Journal of Machine Learning Research}, volume = {18}, number = {142}, pages = {1--39}, url = {https://jmlr.org/papers/v18/16-382.html}, }
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.