A hierarchical modeling approach for clustering probability density functions
type: Item
instance of: scholarly article
title: A hierarchical modeling approach for clustering probability density functions
zbMATH Open document ID: 1471.62034
author: Daniela G. Calò
author: Angela Montanari
author: Cinzia Viroli
published in: Computational Statistics and Data Analysis
publication date: 2018-11-08T00:00:00Z
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62H30
zbMATH DE Number: 6975373
zbMATH Keywords: maximum likelihood
zbMATH Keywords: mixture modeling
zbMATH Keywords: pdf clustering
describes a project that uses: Latent GOLD
MaRDI profile type: Publication
full work available at URL: j.csda.2013.04.013
OpenAlex ID: W2029243810
cites work: Model-Based Gaussian and Non-Gaussian Clustering
cites work: Model-based clustering of high-dimensional data: a review
cites work: High-dimensional data clustering
cites work: A dimensionally reduced finite mixture model for multilevel data
cites work: Two-stage hierarchical modeling for analysis of subpopulations in conditional distributions
cites work: Dimensionality reduction when data are density functions
cites work: Q4139463
cites work: New approaches to nonparametric density estimation and selection of smoothing parameters
cites work: Q3870155
cites work: Finite mixture models
cites work: Heteroscedastic factor mixture analysis
cites work: Far beyond the classical data models: symbolic data analysis
cites work: Estimating the dimension of a model
cites work: Q4821813
cites work: Q3535254
cites work: A hierarchical mixture model for clustering three-way data sets
cites work: Latent class and finite mixture models for multilevel data sets
cites work: Copula analysis of mixture models
DOI: 10.1016/J.CSDA.2013.04.013
description: scientific article; zbMATH DE number 6975373