Variational learning of a Dirichlet process of generalized Dirichlet distributions for simultaneous clustering and feature selection
type: Item
instance of: scholarly article
title: Variational learning of a Dirichlet process of generalized Dirichlet distributions for simultaneous clustering and feature selection
zbMATH Open document ID: 1323.68432
author: Wentao Fan
author: Nizar Bouguila
published in: Pattern Recognition
publication date: 2015-11-02T00:00:00Z
full work available at URL: bouguila2013b.pdf
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 68T10
zbMATH DE Number: 6502761
zbMATH Keywords: infinite mixture models
zbMATH Keywords: Dirichlet process
zbMATH Keywords: generalized Dirichlet
zbMATH Keywords: feature selection
zbMATH Keywords: clustering
zbMATH Keywords: images categorization
zbMATH Keywords: image auto-annotation
describes a project that uses: PRMLT
describes a project that uses: WordNet
describes a project that uses: PCA-SIFT
MaRDI profile type: Publication
OpenAlex ID: W2133703553
cites work: Stability-Based Validation of Clustering Solutions
cites work: The effectiveness of lloyd-type methods for the k-means problem
cites work: Multiple shrinkage and subset selection in wavelets
cites work: Finite mixture models
cites work: Learning from partially supervised data using mixture models and belief functions
cites work: Estimating the number of clusters in a data set via the gap statistic
cites work: Contributions to the theory of Dirichlet processes
cites work: Estimating Normal Means with a Dirichlet Process Prior
cites work: Q4267796
cites work: Bayesian Semiparametric Isotonic Regression for Count Data
cites work: Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems
cites work: Variable Selection in Data Mining
cites work: High-dimensional data clustering
cites work: Bayesian Selection and Clustering of Polymorphisms in Functionally Related Genes
cites work: Variable Selection for Model-Based High-Dimensional Clustering and Its Application to Microarray Data
cites work: An introduction to variational methods for graphical models
cites work: Variational inference for Dirichlet process mixtures
cites work: Q4839399
cites work: Q5483032
cites work: Gibbs Sampling Methods for Stick-Breaking Priors
cites work: Q3580431
cites work: Multiple Hypergeometric Functions: Probabilistic Interpretations and Statistical Uses
cites work: Unsupervised learning by probabilistic latent semantic analysis
cites work: Feature-based approach to semi-supervised similarity learning
DOI: 10.1016/J.PATCOG.2013.03.026
description: scientific article; zbMATH DE number 6502761