Pages that link to "Item:Q4244494"
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The following pages link to An improvement of the NEC criterion for assessing the number of clusters in a mixture model (Q4244494):
Displaying 29 items.
- Model selection for Gaussian latent block clustering with the integrated classification likelihood (Q75065) (← links)
- Biclustering models for two-mode ordinal data (Q316711) (← links)
- The generalized cross entropy method, with applications to probability density estimation (Q631482) (← links)
- Optimization of the number of components in the mixed model using multi-criteria decision-making (Q693554) (← links)
- Latent ignorability and item selection for nursing home case-mix evaluation (Q724611) (← links)
- Order selection in finite mixtures of linear regressions (Q744818) (← links)
- Fitting of mixtures with unspecified number of components using cross validation distance estimate (Q951801) (← links)
- Finite mixture models and model-based clustering (Q975580) (← links)
- Model-based cluster and discriminant analysis with the MIXMOD software (Q1010395) (← links)
- Use of SVD-based probit transformation in clustering gene expression profiles (Q1020741) (← links)
- Mixture-based clustering for the ordered stereotype model (Q1660188) (← links)
- Consistency of variational Bayes inference for estimation and model selection in mixtures (Q1786584) (← links)
- Mixtures of biased sentiment analysers (Q2009040) (← links)
- A comparison of some criteria for states selection in the latent Markov model for longitudinal data (Q2009042) (← links)
- Simultaneous dimension reduction and clustering via the NMF-EM algorithm (Q2036153) (← links)
- Learning from missing data with the binary latent block model (Q2066751) (← links)
- Estimation of the complexity of a finite mixture distribution: from well- to less known methods (Q2081736) (← links)
- Modeling heterogeneous peer assortment effects using finite mixture exponential random graph models (Q2195804) (← links)
- Latent Markov model for longitudinal binary data: an application to the performance evaluation of nursing homes (Q2270663) (← links)
- Reliable clustering of Bernoulli mixture models (Q2295043) (← links)
- Finite mixtures of multivariate Poisson distributions with application (Q2370475) (← links)
- Estimation of social preferences in generalized dictator games (Q2451395) (← links)
- Normality-based validation for crisp clustering (Q2654242) (← links)
- Forming Clusters from Census Areas with Similar Tabular Statistics (Q2839074) (← links)
- Model-based linear clustering (Q3086523) (← links)
- A nonparametric frequency domain EM algorithm for time series classification with applications to spike sorting and macro‐economics (Q4969813) (← links)
- Robust mixture model cluster analysis using adaptive kernels (Q5128912) (← links)
- Determining the number of components in mixtures of linear models. (Q5958421) (← links)
- A new separation index and classification techniques based on Shannon entropy (Q6086183) (← links)