Model-based clustering based on sparse finite Gaussian mixtures

Author:

Malsiner-Walli Gertraud,Frühwirth-Schnatter Sylvia,Grün Bettina

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability,Theoretical Computer Science

Reference64 articles.

1. Anderson, E.: The Irises of the Gaspé Peninsula. Bull. Am. Iris Soc. 59, 2–5 (1935)

2. Armagan, A., Dunson, D., Clyde, M.: Generalized beta mixtures of Gaussians. In: Shawe-Taylor, J., Zemel, R., Bartlett, P., Pereira, F., Weinberger, K. (eds.) Advances in Neural Information Processing Systems (NIPS) 24, pp. 523–531, Curran Associates, Inc., (2011)

3. Banfield, J.D., Raftery, A.E.: Model-based Gaussian and non-Gaussian clustering. Biometrics 49, 803–821 (1993)

4. Baudry, J., Raftery, A.E., Celeux, G., Lo, K., Gottardo, R.: Combining mixture components for clustering. J. Comput. Gr. Stat. 19, 332–353 (2010)

5. Bensmail, H., Celeux, G., Raftery, A.E., Robert, C.P.: Inference in model-based cluster analysis. Stat. Comput. 7, 1–10 (1997)

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