Optimal Bayesian clustering using non-negative matrix factorization
DOI10.1016/j.csda.2018.08.002zbMath1469.62158arXiv1809.07850OpenAlexW2887182226WikidataQ57445090 ScholiaQ57445090MaRDI QIDQ1796973
Michael D. Porter, Ketong Wang
Publication date: 17 October 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1809.07850
cluster analysisfuzzy clusteringsoft clusteringBayesian clusteringnon-negative matrix factorization (NMF)
Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30)
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- Optimal Bayesian estimators for latent variable cluster models
- Finite mixture models and model-based clustering
- The two-parameter Poisson-Dirichlet distribution derived from a stable subordinator
- Ferguson distributions via Polya urn schemes
- Bayesian cluster analysis: point estimation and credible balls (with discussion)
- Comparing clusterings -- an information based distance
- A Bayesian analysis of some nonparametric problems
- Fast Nonnegative Matrix Factorization: An Active-Set-Like Method and Comparisons
- Variable Selection for Clustering with Gaussian Mixture Models
- Density Estimation With Confidence Sets Exemplified by Superclusters and Voids in the Galaxies
- On the Complexity of Nonnegative Matrix Factorization
- Nonnegative Matrix Factorization Based on Alternating Nonnegativity Constrained Least Squares and Active Set Method
- Bayesian cluster analysis
- Model-Based Clustering, Discriminant Analysis, and Density Estimation
- Bayesian Clustering and Product Partition Models
- Gibbs Sampling Methods for Stick-Breaking Priors
- Bayesian Density Estimation and Inference Using Mixtures
- Controlling the Reinforcement in Bayesian Non-Parametric Mixture Models
- Learning the parts of objects by non-negative matrix factorization
- Projected Gradient Methods for Nonnegative Matrix Factorization
- Variable Selection for Model-Based Clustering
- Improved criteria for clustering based on the posterior similarity matrix
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