A classification EM algorithm for clustering and two stochastic versions
- 31 October 1992
- journal article
- Published by Elsevier BV in Computational Statistics & Data Analysis
- Vol. 14 (3), 315-332
- https://doi.org/10.1016/0167-9473(92)90042-e
Abstract
No abstract availableKeywords
This publication has 12 references indexed in Scilit:
- Experiments in projection and clustering by simulated annealingPattern Recognition, 1989
- Classification and Mixture Approaches to Clustering via Maximum LikelihoodJournal of the Royal Statistical Society Series C: Applied Statistics, 1989
- Parameter modification for clustering criteriaJournal of Classification, 1987
- Local convergence analysis of a grouped variable version of coordinate descentJournal of Optimization Theory and Applications, 1987
- Another interpretation of the EM algorithm for mixture distributionsStatistics & Probability Letters, 1986
- Mixture Densities, Maximum Likelihood and the EM AlgorithmSIAM Review, 1984
- Clustering Criteria and Multivariate Normal MixturesBiometrics, 1981
- Asymptotic behaviour of classification maximum likelihood estimatesBiometrika, 1978
- 389: Separating Mixtures of Normal DistributionsBiometrics, 1975
- Clustering Methods Based on Likelihood Ratio CriteriaBiometrics, 1971