Pages that link to "Item:Q3489154"
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The following pages link to Classification and Mixture Approaches to Clustering via Maximum Likelihood (Q3489154):
Displaying 15 items.
- Entropy-type classification maximum likelihood algorithms for mixture models (Q422426) (← links)
- Experiments with, and on, algorithms for maximum likelihood clustering (Q957004) (← links)
- An entropy criterion for assessing the number of clusters in a mixture model (Q1126397) (← links)
- Clustering criteria for discrete data and latent class models (Q1203104) (← links)
- Comparison of the mixture and the classification maximum likelihood in cluster analysis with binary data (Q1350802) (← links)
- Comparison of the EM, CEM and SEM algorithms in the estimation of finite mixtures of linear mixed models: a simulation study (Q2135920) (← links)
- A classification EM algorithm for clustering and two stochastic versions (Q2563603) (← links)
- Bayesian Mixture Labeling and Clustering (Q2903830) (← links)
- (Q3745075) (← links)
- (Q4217776) (← links)
- Stochastic versions of the em algorithm: an experimental study in the mixture case (Q4346970) (← links)
- A Frequentist Inference Method Based on Finite Bivariate and Multivariate Beta Mixture Models (Q5110031) (← links)
- Fitting mixtures of linear regressions (Q5306333) (← links)
- Functional Mixed Effects Clustering with Application to Longitudinal Urologic Chronic Pelvic Pain Syndrome Symptom Data (Q6110688) (← links)
- Selection of number of clusters and warping penalty in clustering functional electrocardiogram (Q6663857) (← links)
