Pages that link to "Item:Q141765"

The following pages link to Modelling high-dimensional data by mixtures of factor analyzers (Q141765):

Displaying 50 items.

• Mixtures of factor analyzers with scale mixtures of fundamental skew normal distributions (Q2036176) (← links)
• Functional data clustering by projection into latent generalized hyperbolic subspaces (Q2051583) (← links)
• On Bayesian analysis of parsimonious Gaussian mixture models (Q2075730) (← links)
• PCA reduced Gaussian mixture models with applications in superresolution (Q2077308) (← links)
• Variational inference and sparsity in high-dimensional deep Gaussian mixture models (Q2080343) (← links)
• Gaussian mixture model with an extended ultrametric covariance structure (Q2089298) (← links)
• Robust clustering via mixtures of \(t\) factor analyzers with incomplete data (Q2103856) (← links)
• High-dimensional clustering via random projections (Q2129311) (← links)
• Clustering non-linear interactions in factor analysis (Q2221225) (← links)
• An efficient ECM algorithm for maximum likelihood estimation in mixtures of \(t\)-factor analyzers (Q2255854) (← links)
• Discriminative variable selection for clustering with the sparse Fisher-EM algorithm (Q2259731) (← links)
• A mixture factor model with applications to microarray data (Q2273145) (← links)
• Weighted likelihood mixture modeling and model-based clustering (Q2302489) (← links)
• Mixtures of Gaussian copula factor analyzers for clustering high dimensional data (Q2325325) (← links)
• Model-based clustering of censored data via mixtures of factor analyzers (Q2337326) (← links)
• Unifying data units and models in (co-)clustering (Q2418082) (← links)
• Factor probabilistic distance clustering (FPDC): a new clustering method (Q2418278) (← links)
• Penalized model-based clustering (Q2426832) (← links)
• Capturing patterns via parsimonious \(t\) mixture models (Q2453877) (← links)
• Automated learning of mixtures of factor analysis models with missing information (Q2665792) (← links)
• Mixed Deep Gaussian Mixture Model: a clustering model for mixed datasets (Q2673358) (← links)
• Group-wise shrinkage estimation in penalized model-based clustering (Q2680189) (← links)
• (Q2953631) (← links)
• Robust fitting of mixtures of factor analyzers using the trimmed likelihood estimator (Q2974928) (← links)
• MILFM: Multiple index latent factor model based on high-dimensional features (Q3119922) (← links)
• The Generic Subspace Clustering Model (Q3298486) (← links)
• Issues of robustness and high dimensionality in cluster analysis (Q3298582) (← links)
• Mixture models with multiple levels, with application to the analysis of multifactor gene expression data (Q3526185) (← links)
• Model‐based clustering of longitudinal data (Q3561489) (← links)
• Portfolio Selection with Common Correlation Mixture Models (Q3606095) (← links)
• A Factorized High Dimensional Model Representation on the Partitioned Random Discrete Data (Q4653754) (← links)
• Mixture modelling for cluster analysis (Q4832408) (← links)
• Model-Based Classification via Mixtures of Multivariate<i>t</i>-Factor Analyzers (Q4906432) (← links)
• Antedependence models in the analysis of multi-group high-dimensional data (Q4935565) (← links)
• Heteroscedastic factor mixture analysis (Q4970593) (← links)
• Bayesian analysis for confirmatory factor model with finite-dimensional Dirichlet prior mixing (Q4975169) (← links)
• Multiple scaled contaminated normal distribution and its application in clustering (Q5006013) (← links)
• Mixtures of general location model with factor analyzer covariance structure for clustering mixed type data (Q5034170) (← links)
• The estimation of normal mixtures with latent variables (Q5078416) (← links)
• A skew-normal factor model for the analysis of student satisfaction towards university courses (Q5123542) (← links)
• Robust mixtures of factor analysis models using the restricted multivariate skew-<i>t</i> distribution (Q5142194) (← links)
• Advantages of Using Factorisation Machines as a Statistical Modelling Technique (Q5164148) (← links)
• The independent factor analysis approach to latent variable modelling (Q5402477) (← links)
• Tight Clustering: A Resampling‐Based Approach for Identifying Stable and Tight Patterns in Data (Q5714643) (← links)
• Kernel discriminant analysis and clustering with parsimonious Gaussian process models (Q5963817) (← links)
• A dual subspace parsimonious mixture of matrix normal distributions (Q6050764) (← links)
• Cluster analysis with cellwise trimming and applications for the robust clustering of curves (Q6065865) (← links)
• Parsimonious ultrametric Gaussian mixture models (Q6570332) (← links)
• The parsimonious Gaussian mixture models with partitioned parameters and their application in clustering (Q6580644) (← links)
• Composite likelihood methods for parsimonious model-based clustering of mixed-type data (Q6613895) (← links)