Pages that link to "Item:Q3183203"

The following pages link to Variable Selection for Clustering with Gaussian Mixture Models (Q3183203):

Displaying 50 items.

• Sparse clustering of functional data (Q61004) (← links)
• Model-based clustering based on sparse finite Gaussian mixtures (Q66958) (← links)
• Variable selection for model-based clustering using the integrated complete-data likelihood (Q133915) (← links)
• Simultaneous model-based clustering and visualization in the Fisher discriminative subspace (Q134334) (← links)
• Variable selection for latent class analysis with application to low back pain diagnosis (Q152160) (← links)
• Stable and visualizable Gaussian parsimonious clustering models (Q260986) (← links)
• Variable selection for clustering and classification (Q288977) (← links)
• A mixed integer linear model for clustering with variable selection (Q336929) (← links)
• Using mixtures in seemingly unrelated linear regression models with non-normal errors (Q340854) (← links)
• Clustering and variable selection for categorical multivariate data (Q367219) (← links)
• Dimension reduction for model-based clustering via mixtures of multivariate \(t\)-distributions (Q369352) (← links)
• Comparison of three hypothesis testing approaches for the selection of the appropriate number of clusters of variables (Q481914) (← links)
• Variable selection in model-based discriminant analysis (Q634551) (← links)
• Multivariate linear regression with non-normal errors: a solution based on mixture models (Q637985) (← links)
• Model-based clustering, classification, and discriminant analysis via mixtures of multivariate \(t\)-distributions (Q693333) (← links)
• Optimization of the number of components in the mixed model using multi-criteria decision-making (Q693554) (← links)
• High-dimensional variable selection with the plaid mixture model for clustering (Q722745) (← links)
• Slope heuristics: overview and implementation (Q746224) (← links)
• Using conditional independence for parsimonious model-based Gaussian clustering (Q746302) (← links)
• Variable selection for mixed data clustering: application in human population genomics (Q779017) (← links)
• Robust variable selection for model-based learning in presence of adulteration (Q830086) (← links)
• Selection of variables in cluster analysis: An empirical comparison of eight procedures (Q946679) (← links)
• Variable selection in model-based clustering: a general variable role modeling (Q961872) (← links)
• Penalized factor mixture analysis for variable selection in clustered data (Q961929) (← links)
• Finite mixture models and model-based clustering (Q975580) (← links)
• Model-based clustering of high-dimensional data: a review (Q1621282) (← links)
• Model-based biclustering of clickstream data (Q1660186) (← links)
• A model-based approach to simultaneous clustering and dimensional reduction of ordinal data (Q1695738) (← links)
• Modelling the role of variables in model-based cluster analysis (Q1702292) (← links)
• A tractable multi-partitions clustering (Q1727863) (← links)
• Variable selection methods for model-based clustering (Q1749770) (← links)
• Optimal Bayesian clustering using non-negative matrix factorization (Q1796973) (← links)
• Graphical tools for model-based mixture discriminant analysis (Q2009043) (← links)
• Simultaneous dimension reduction and clustering via the NMF-EM algorithm (Q2036153) (← links)
• High-dimensional clustering via random projections (Q2129311) (← links)
• Fast approximate inference for variable selection in Dirichlet process mixtures, with an application to pan-cancer proteomics (Q2195280) (← links)
• Seemingly unrelated clusterwise linear regression (Q2201321) (← links)
• Bayesian estimation of the latent dimension and communities in stochastic blockmodels (Q2209705) (← links)
• Noise-free latent block model for high dimensional data (Q2218334) (← links)
• Discriminative variable selection for clustering with the sparse Fisher-EM algorithm (Q2259731) (← links)
• Growth mixture modeling with measurement selection (Q2283309) (← links)
• Robust Bayesian model selection for variable clustering with the Gaussian graphical model (Q2302496) (← links)
• Model-based clustering with sparse covariance matrices (Q2329799) (← links)
• Model-based clustering of high-dimensional data: variable selection versus facet determination (Q2375354) (← links)
• Unifying data units and models in (co-)clustering (Q2418082) (← links)
• Variable selection in model-based clustering and discriminant analysis with a regularization approach (Q2418093) (← links)
• Enhancing the selection of a model-based clustering with external categorical variables (Q2418394) (← links)
• Variable selection in model-based clustering using multilocus genotype data (Q2442772) (← links)
• Model-based clustering (Q2628064) (← links)
• Bayesian variable selection for latent class analysis using a collapsed Gibbs sampler (Q2631382) (← links)