참고문헌
- Ahn, S. and Baik, S. W. (2011). Estimating parameters in multivariate normal mixtures, The Korean Communications in Statistics, 18, 357-366. https://doi.org/10.5351/CKSS.2011.18.3.357
- Ciuperca, G., Ridolfi, A. and Idier, J. (2003). Penalized maximum likelihood estimator for normal mixtures, Scandinavian Journal of Statistics, 30, 45-59. https://doi.org/10.1111/1467-9469.00317
- Dempster, A., Laird, N. and Rubin, D. (1977). Maximum likelihood from incomplete data via the EM algorithm, Journal of the Royal Statistical Society: Series B, 39, 1-38.
- Hathaway, R. J. (1985). A constrained formulation of maximum likelihood estimation for normal mixture distributions, Annals of Statistics, 13, 795-800. https://doi.org/10.1214/aos/1176349557
- Kullback, S. and Leibler, R. A. (1951). On information and sufficiency, The Annals of Mathematical Statistics, 22, 79-86. https://doi.org/10.1214/aoms/1177729694
- Redner, R. A. and Walker, H. F. (1984). Mixture densities, maximum Likelihood and the EM algorithm, SIAM Review, 26, 195-239. https://doi.org/10.1137/1026034
- Robbins, H. and Monro, S. (1951). A stochastic approximation method, The Annals of Mathematical Statistics, 22, 400-407. https://doi.org/10.1214/aoms/1177729586
- Titterington, D. M. (1984). Recursive parameter estimation using incomplete data, Journal of the Royal Statistical Society: Series B, 46, 257-267.
- Yin, H. and Allinson, N. (2001a). Self-organizing mixture networks for probability density estimation, IEEE Transactions on Neural Networks, 12, 405-411. https://doi.org/10.1109/72.914534
- Yin, H. and Allinson, N. (2001b). Bayesian self-organizing map for Gaussian mixtures, IEE Proceedings - Vision, Image, and Signal Processing, 234-240.
- Xu, L. and Jordan, M. I. (1996). On convergence properties of the EM algorithm for Gaussian mixtures, Neural Computation, 8, 129-151. https://doi.org/10.1162/neco.1996.8.1.129
피인용 문헌
- Parallel Implementations of the Self-Organizing Network for Normal Mixtures vol.19, pp.3, 2012, https://doi.org/10.5351/CKSS.2012.19.3.459