Pages that link to "Item:Q902208"
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The following pages link to Finite mixture regression: a sparse variable selection by model selection for clustering (Q902208):
Displaying 16 items.
- A mixed integer linear model for clustering with variable selection (Q336929) (← links)
- A Bayesian sparse finite mixture model for clustering data from a heterogeneous population (Q783308) (← links)
- Inverse regression approach to robust nonlinear high-to-low dimensional mapping (Q1686148) (← links)
- A non-asymptotic approach for model selection via penalization in high-dimensional mixture of experts models (Q2084460) (← links)
- Approximations of conditional probability density functions in Lebesgue spaces via mixture of experts models (Q2129248) (← links)
- Bayesian shrinkage in mixture-of-experts models: identifying robust determinants of class membership (Q2303060) (← links)
- Joint rank and variable selection for parsimonious estimation in a high-dimensional finite mixture regression model (Q2397123) (← links)
- Model-based regression clustering for high-dimensional data: application to functional data (Q2418303) (← links)
- Variable Selection for Clustering with Gaussian Mixture Models (Q3183203) (← links)
- Feature selection in finite mixture of sparse normal linear models in high-dimensional feature space (Q3303656) (← links)
- (Q4438367) (← links)
- Block-Wise Variable Selection for Clustering Via Latent States of Mixture Models (Q5083361) (← links)
- Sufficient dimension reduction for clustered data via finite mixture modelling (Q6051665) (← links)
- Regression‐based heterogeneity analysis to identify overlapping subgroup structure in high‐dimensional data (Q6068650) (← links)
- Clusterwise elastic-net regression based on a combined information criterion (Q6106146) (← links)
- Clustering electricity consumers using high-dimensional regression mixture models (Q6576828) (← links)
