Nonparametric bagging clustering methods to identify latent structures from a sequence of dependent categorical data

DOI10.1016/j.csda.2022.107583OpenAlexW4289444325MaRDI QIDQ2084068

Johan Strandberg, Konrad Abramowicz, Sara Sjöstedt-de Luna

Publication date: 17 October 2022

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2022.107583

zbMATH Keywords

entropyclusteringbagging methodscategorical dependent data

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• hmm.discnp

Cites Work

• Isometric logratio transformations for compositional data analysis
• Statistical analysis of complex and spatially dependent data: a review of object oriented spatial statistics
• Divergence measures based on the Shannon entropy
• Dealing With Label Switching in Mixture Models
• Data Clustering: Theory, Algorithms, and Applications