Advances in Data Analysis and Classification

2008 - 2026

Current editor(s): H.-H. Bock, W. Gaul, A. Okada, M. Vichi and C. Weihs

From:
Springer
German Classification Society - Gesellschaft für Klassifikation (GfKl)
Japanese Classification Society (JCS)
Classification and Data Analysis Group of the Italian Statistical Society (CLADAG)
International Federation of Classification Societies (IFCS)
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Volume 20, issue 2, 2026

On the ADAC issue 2 of volume 20 (2026) pp. 315-322

Maurizio Vichi, Andrea Cerioli and Hans A. Kestler

A link function specification test in the single functional index model pp. 323-354

Lax Chan, Laurent Delsol and Aldo Goia

Model based clustering of multinomial count data pp. 355-401

Panagiotis Papastamoulis

Slice weighted average regression pp. 403-444

Marina Masioti, Joshua Davies, Amanda Shaker and Luke A. Prendergast

Enhancing symbolic regression with side information for data analysis pp. 445-478

Xiangwu Zuo and Anxiao Jiang

Kernel biclustering algorithm in Hilbert spaces pp. 479-520

Marcos Matabuena, Juan C. Vidal, Oscar Hernan Madrid Padilla and Dino Sejdinovic

Functional independent component analysis by choice of norm: a framework for near-perfect classification pp. 521-549

Marc Vidal, Marc Leman and Ana M. Aguilera

Particle swarm optimization for preference rankings pp. 551-575

Maurizio Romano, Claudio Conversano, Roberta Siciliano and Antonio D’Ambrosio

Weighted embedding and outlier detection of metric space data pp. 577-613

Lauri Heinonen, Henri Nyberg and Joni Virta

A low-rank non-convex norm method for multiview graph clustering pp. 615-634

Alaeddine Zahir, Khalide Jbilou and Ahmed Ratnani

Statistical jump model for mixed-type data with missing data imputation pp. 635-659

Federico P. Cortese and Antonio Pievatolo

Correction to: Statistical jump model for mixed-type data with missing data imputation pp. 661-661

Federico P. Cortese and Antonio Pievatolo

Modelling time-inhomogeneous incomplete records of point processes using variants of hidden Markov models pp. 663-691

Amina Shahzadi, Ting Wang, Matthew Parry and Mark Bebbington

Censored trajectory data clustering using mixture of semi-Markov models with application to targeted marketing pp. 693-719

Geet Lahoti, Chitta Ranjan, Jialei Chen, Samaneh Ebrahimi and Chuck Zhang

Volume 20, issue 1, 2026

Editorial for ADAC issue 1 of volume 20 (2026) pp. 1-9

Berthold Lausen and Maurizio Vichi

Mixtures of regressions using matrix-variate heavy-tailed distributions pp. 11-38

Salvatore D. Tomarchio and Michael P. B. Gallaugher

Robust gradient boosting for generalized additive models for location, scale and shape pp. 39-58

Jan Speller, Christian Staerk, Francisco Gude and Andreas Mayr

A probabilistic method for reconstructing the Foreign Direct Investments network in search of ultimate host economies pp. 59-79

Nadia Accoto, Valerio Astuti and Costanza Catalano

Entropy-based fuzzy clustering of interval-valued time series pp. 81-107

Vincenzina Vitale, Pierpaolo D’Urso, Livia De Giovanni and Raffaele Mattera

Scalable Bayesian p-generalized probit and logistic regression pp. 109-143

Zeyu Ding, Simon Omlor, Katja Ickstadt and Alexander Munteanu

Calibrated kNN classification via second-layer neighborhood analysis pp. 145-165

Bastian Pfeifer and Markus Kreuzthaler

Unsupervised learning from attributed networks pp. 167-196

Lazhar Labiod and Mohamed Nadif

Identifying influential observations in concurrent functional regression with weighted bootstrap pp. 197-226

Ryan D. Pittman and David B. Hitchcock

Structural equation modeling with factors and composites within the framework of the basic design pp. 227-254

Arthur Tenenhaus, Michel Tenenhaus and Theo K. Dijkstra

Classification of multivariate count data with multivariate log-linear conditional Poisson distribution pp. 255-288

Juan M. Muñoz-Pichardo and Rafael Pino-Mejías

Directional density-based clustering pp. 289-314

Paula Saavedra-Nieves and Martín Fernández-Pérez

Volume 19, issue 4, 2025

Editorial for ADAC issue 4 of volume 19 (2025) pp. 855-859

Maurizio Vichi, Andrea Cerioli and Hans A. Kestler

Using Bagging to improve clustering methods in the context of three-dimensional shapes pp. 861-893

Inácio Nascimento, Raydonal Ospina and Getúlio Amorim

Marginal models with individual-specific effects for the analysis of longitudinal bipartite networks pp. 895-920

Francesco Bartolucci, Antonietta Mira and Stefano Peluso

Robust Bayesian inference for the censored mixture of experts model using heavy-tailed distributions pp. 921-949

Elham Mirfarah, Mehrdad Naderi, Tsung-I Lin and Wan-Lun Wang

A sparse exponential family latent block model for co-clustering pp. 951-987

Saeid Hoseinipour, Mina Aminghafari, Adel Mohammadpour and Mohamed Nadif

Characterisation and calibration of multiversal methods pp. 989-1021

Giulio Giacomo Cantone and Venera Tomaselli

Addressing class imbalance in functional data clustering pp. 1023-1050

Catherine Higgins and Michelle Carey

Unsupervised curve clustering using wavelets pp. 1051-1085

Umberto Amato, Anestis Antoniadis, Italia De Feis and Irène Gijbels

Reducing the dimensionality and granularity in hierarchical categorical variables pp. 1087-1118

Paul Wilsens, Katrien Antonio and Gerda Claeskens

Parametric models for distributional data pp. 1119-1146

Paula Brito and A. Pedro Duarte Silva

Correction: Characterisation and calibration of multiversal methods pp. 1147-1147

Giulio Giacomo Cantone and Venera Tomaselli

Volume 19, issue 3, 2025

Editorial for ADAC issue 3 of volume 19 (2025) pp. 545-549

Maurizio Vichi, Andrea Cerioli and Hans A. Kestler

Clustering ensemble extraction: a knowledge reuse framework pp. 551-578

Mohaddeseh Sedghi, Ebrahim Akbari, Homayun Motameni and Touraj Banirostam

View selection in multi-view stacking: choosing the meta-learner pp. 579-617

Wouter Loon, Marjolein Fokkema, Botond Szabo and Mark Rooij

Comparison of internal evaluation criteria in hierarchical clustering of categorical data pp. 619-648

Zdenek Sulc, Jaroslav Hornicek, Hana Rezankova and Jana Cibulkova

Multidimensional scaling for big data pp. 649-670

Pedro Delicado and Cristian Pachón-García

Clustering functional data via variational inference pp. 671-720

Chengqian Xian, Camila P. E. Souza, John Jewell and Ronaldo Dias

A two-group canonical variate analysis biplot for an optimal display of both means and cases pp. 721-748

Niel Roux and Sugnet Gardner-Lubbe

Clustering large mixed-type data with ordinal variables pp. 749-767

Gero Szepannek, Rabea Aschenbruck and Adalbert Wilhelm

Natural language processing and financial markets: semi-supervised modelling of coronavirus and economic news pp. 769-793

Carlos Moreno-Pérez and Marco Minozzo

Dirichlet compound negative multinomial mixture models and applications pp. 795-830

Ornela Bregu and Nizar Bouguila

On some properties of Cronbach’s α coefficient for interval-valued data in questionnaires pp. 831-854

José García-García, María Ángeles Gil and María Asunción Lubiano

Volume 19, issue 2, 2025

Special issue on “Advances in clustering, classification and related methods” pp. 271-273

Paolo Giordani, Christian Hennig, Julien Jacques and Carla Rampichini

Asymmetric Laplace scale mixtures for the distribution of cryptocurrency returns pp. 275-322

Antonio Punzo and Luca Bagnato

A consensus-constrained parsimonious Gaussian mixture model for clustering hyperspectral images pp. 323-359

Ganesh Babu, Aoife Gowen, Michael Fop and Isobel Claire Gormley

Random models for adjusting fuzzy rand index extensions pp. 361-385

Ryan DeWolfe and Jeffrey L. Andrews

Clustering and classification of spatio-temporal data using spatial dynamic panel data models pp. 387-435

Giuseppe Feo, Francesco Giordano, Sara Milito, Marcella Niglio and Maria Lucia Parrella

Increasing biases can be more efficient than increasing weights pp. 437-468

Carlo Metta, Marco Fantozzi, Andrea Papini, Gianluca Amato, Matteo Bergamaschi, Andrea Fois, Silvia Giulia Galfrè, Alessandro Marchetti, Michelangelo Vegliò, Maurizio Parton and Francesco Morandin

Variational inference for estimating dynamic stochastic block models through an evolutionary algorithm pp. 469-492

Luca Brusa and Fulvia Pennoni

Comparing flexible modelling approaches: the varying-thresholds model versus quantile regression pp. 493-514

Niccolò Ducci, Leonardo Grilli and Marta Pittavino

When non-response makes estimates from a census a small area estimation problem: the case of the survey on graduates’ employment status in Italy pp. 515-543

Maria Giovanna Ranalli, Fulvia Pennoni, Francesco Bartolucci and Antonietta Mira

Volume 19, issue 1, 2025

Editorial for ADAC issue 1 of volume 19 (2025) pp. 1-4

Maurizio Vichi, Andrea Cerioli and Hans A. Kestler

Loss-guided stability selection pp. 5-30

Tino Werner

QDA classification of high-dimensional data with rare and weak signals pp. 31-65

Hanning Chen, Qiang Zhao and Jingjing Wu

RGA: a unified measure of predictive accuracy pp. 67-93

Paolo Giudici and Emanuela Raffinetti

k-means clustering for persistent homology pp. 95-119

Yueqi Cao, Prudence Leung and Anthea Monod

Robust functional logistic regression pp. 121-145

Berkay Akturk, Ufuk Beyaztas, Han Lin Shang and Abhijit Mandal

Spatial quantile clustering of climate data pp. 147-175

Carlo Gaetan, Paolo Girardi and Victor Muthama Musau

Estimators of various kappa coefficients based on the unbiased estimator of the expected index of agreements pp. 177-207

A. Martín Andrés and M. Álvarez Hernández

Choosing the number of factors in factor analysis with incomplete data via a novel hierarchical Bayesian information criterion pp. 209-235

Jianhua Zhao, Changchun Shang, Shulan Li, Ling Xin and Philip L. H. Yu

Clustering by deep latent position model with graph convolutional network pp. 237-270

Dingge Liang, Marco Corneli, Charles Bouveyron and Pierre Latouche