Volume 16, Issue 2

Search all Advances in Data Analysis and Classification articles

June 2022

Models and Learning for Clustering and Classification

Issue Editors:

Salvatore Ingrassia,
Julien Jacques,
Weixin Yao

10 articles in this issue

Special issue on “Models and learning for clustering and Classification”
Salvatore Ingrassia
Julien Jacques
Weixin Yao
Editorial 31 May 2022 Pages: 231 - 234
Are attitudes toward immigration changing in Europe? An analysis based on latent class IRT models
Ewa Genge
Francesco Bartolucci
Regular Article Open access 13 December 2021 Pages: 235 - 271
A two-step estimator for generalized linear models for longitudinal data with time-varying measurement error
Roberto Di Mari
Antonello Maruotti
Regular Article 22 November 2021 Pages: 273 - 300
Robust logistic zero-sum regression for microbiome compositional data
G. S. Monti
P. Filzmoser
Regular Article Open access 30 September 2021 Pages: 301 - 324
How many data clusters are in the Galaxy data set?
Bettina Grün
Gertraud Malsiner-Walli
Sylvia Frühwirth-Schnatter
Regular Article Open access 26 August 2021 Pages: 325 - 349
A new three-step method for using inverse propensity weighting with latent class analysis
F. J. Clouth
S. Pauws
J. K. Vermunt
Regular Article Open access 23 July 2021 Pages: 351 - 371
Factor and hybrid components for model-based clustering
Jason Hou-Liu
Ryan P. Browne
Regular Article 17 January 2022 Pages: 373 - 398
Gaussian mixture model with an extended ultrametric covariance structure
Carlo Cavicchia
Maurizio Vichi
Giorgia Zaccaria
Regular Article 25 February 2022 Pages: 399 - 427
A von Mises–Fisher mixture model for clustering numerical and categorical variables
Xavier Bry
Lionel Cucala
Regular Article 10 July 2021 Pages: 429 - 455
Model-based two-way clustering of second-level units in ordinal multilevel latent Markov models
Giorgio Eduardo Montanari
Marco Doretti
Maria Francesca Marino
Regular Article Open access 15 June 2021 Pages: 457 - 485

Volume 16, Issue 2

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