This issue 4 of volume 19 (2025) of the journal Advances in Data Analysis and Classification (ADAC) contains nine articles that deal with bagging for clustering, analysis of longitudinal bipartite networks with marginal models, robust Bayesian inference for the censored mixture of experts, co-clustering models for sparse high-dimensional data, multiversal analysis, class imbalance in functional data clustering, curve clustering through wavelets, dimension reduction in hierarchical categorical variables, and parametric models for distributional data.

Editorial for ADAC issue 4 of volume 19 (2025) / Vichi, M; Cerioli, A; Kestler, Ha. - In: ADVANCES IN DATA ANALYSIS AND CLASSIFICATION. - ISSN 1862-5347. - 19:4(2025), pp. 855-859. [10.1007/s11634-025-00660-7]

Editorial for ADAC issue 4 of volume 19 (2025)

Cerioli, A;
2025-01-01

Abstract

This issue 4 of volume 19 (2025) of the journal Advances in Data Analysis and Classification (ADAC) contains nine articles that deal with bagging for clustering, analysis of longitudinal bipartite networks with marginal models, robust Bayesian inference for the censored mixture of experts, co-clustering models for sparse high-dimensional data, multiversal analysis, class imbalance in functional data clustering, curve clustering through wavelets, dimension reduction in hierarchical categorical variables, and parametric models for distributional data.
2025
Editorial for ADAC issue 4 of volume 19 (2025) / Vichi, M; Cerioli, A; Kestler, Ha. - In: ADVANCES IN DATA ANALYSIS AND CLASSIFICATION. - ISSN 1862-5347. - 19:4(2025), pp. 855-859. [10.1007/s11634-025-00660-7]
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/3050933
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact