Choosing the Number of Component Clusters in the Mixture-Model Using a New Informational Complexity Criterion of the Inverse-Fisher Information Matrix
- 1 January 1993
- book chapter
- Published by Springer Nature
Abstract
No abstract availableKeywords
This publication has 11 references indexed in Scilit:
- On the information-based measure of covariance complexity and its application to the evaluation of multivariate linear modelsCommunications in Statistics - Theory and Methods, 1990
- Clustering Criteria and Multivariate Normal MixturesPublished by JSTOR ,1981
- Finite Mixture DistributionsPublished by Springer Nature ,1981
- A New Approach to Model Structure DiscriminationIEEE Transactions on Systems, Man, and Cybernetics, 1980
- Modeling by shortest data descriptionAutomatica, 1978
- Bayesian cluster analysisBiometrika, 1978
- Distribution Problems in ClusteringPublished by Elsevier ,1977
- Population mixture models and clustering algorithmsCommunications in Statistics - Theory and Methods, 1977
- On Identifying the Population of Origin of Each Observation in a Mixture of Observations from Two Normal PopulationsTechnometrics, 1970
- On Information and SufficiencyThe Annals of Mathematical Statistics, 1951