Bayesian variable selection in clustering high-dimensional data via a mixture of finite mixtures
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Publication:3389640
DOI10.1080/00949655.2021.1902526OpenAlexW3149687486MaRDI QIDQ3389640
Publication date: 23 March 2022
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2021.1902526
clusteringfinite mixture modelhigh-dimensional dataBayesian inferencevariable selectionDNA microarray data
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- Model-based clustering based on sparse finite Gaussian mixtures
- Ferguson distributions via Polya urn schemes
- Variable selection in model-based clustering and discriminant analysis with a regularization approach
- Hierarchical Bayesian nonparametric mixture models for clustering with variable relevance determination
- Variable selection in clustering via Dirichlet process mixture models
- Variable Selection for Clustering with Gaussian Mixture Models
- Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
- Clustering Objects on Subsets of Attributes (with Discussion)
- Mixture Models With a Prior on the Number of Components
- Asymptotic Inference for Mixture Models by Using Data-Dependent Priors
- Probabilistic Community Detection With Unknown Number of Communities
- Bayesian Variable Selection in Clustering High-Dimensional Data
- Variable Selection for Model-Based Clustering
- Model-based subspace clustering
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