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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)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

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Volume 20, issue 1, 2026

Editorial for ADAC issue 1 of volume 20 (2026) pp. 1-9 Downloads
Berthold Lausen and Maurizio Vichi
Mixtures of regressions using matrix-variate heavy-tailed distributions pp. 11-38 Downloads
Salvatore D. Tomarchio and Michael P. B. Gallaugher
Robust gradient boosting for generalized additive models for location, scale and shape pp. 39-58 Downloads
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 Downloads
Nadia Accoto, Valerio Astuti and Costanza Catalano
Entropy-based fuzzy clustering of interval-valued time series pp. 81-107 Downloads
Vincenzina Vitale, Pierpaolo D’Urso, Livia De Giovanni and Raffaele Mattera
Scalable Bayesian p-generalized probit and logistic regression pp. 109-143 Downloads
Zeyu Ding, Simon Omlor, Katja Ickstadt and Alexander Munteanu
Calibrated kNN classification via second-layer neighborhood analysis pp. 145-165 Downloads
Bastian Pfeifer and Markus Kreuzthaler
Unsupervised learning from attributed networks pp. 167-196 Downloads
Lazhar Labiod and Mohamed Nadif
Identifying influential observations in concurrent functional regression with weighted bootstrap pp. 197-226 Downloads
Ryan D. Pittman and David B. Hitchcock
Structural equation modeling with factors and composites within the framework of the basic design pp. 227-254 Downloads
Arthur Tenenhaus, Michel Tenenhaus and Theo K. Dijkstra
Classification of multivariate count data with multivariate log-linear conditional Poisson distribution pp. 255-288 Downloads
Juan M. Muñoz-Pichardo and Rafael Pino-Mejías
Directional density-based clustering pp. 289-314 Downloads
Paula Saavedra-Nieves and Martín Fernández-Pérez

Volume 19, issue 4, 2025

Editorial for ADAC issue 4 of volume 19 (2025) pp. 855-859 Downloads
Maurizio Vichi, Andrea Cerioli and Hans A. Kestler
Using Bagging to improve clustering methods in the context of three-dimensional shapes pp. 861-893 Downloads
Inácio Nascimento, Raydonal Ospina and Getúlio Amorim
Marginal models with individual-specific effects for the analysis of longitudinal bipartite networks pp. 895-920 Downloads
Francesco Bartolucci, Antonietta Mira and Stefano Peluso
Robust Bayesian inference for the censored mixture of experts model using heavy-tailed distributions pp. 921-949 Downloads
Elham Mirfarah, Mehrdad Naderi, Tsung-I Lin and Wan-Lun Wang
A sparse exponential family latent block model for co-clustering pp. 951-987 Downloads
Saeid Hoseinipour, Mina Aminghafari, Adel Mohammadpour and Mohamed Nadif
Characterisation and calibration of multiversal methods pp. 989-1021 Downloads
Giulio Giacomo Cantone and Venera Tomaselli
Addressing class imbalance in functional data clustering pp. 1023-1050 Downloads
Catherine Higgins and Michelle Carey
Unsupervised curve clustering using wavelets pp. 1051-1085 Downloads
Umberto Amato, Anestis Antoniadis, Italia De Feis and Irène Gijbels
Reducing the dimensionality and granularity in hierarchical categorical variables pp. 1087-1118 Downloads
Paul Wilsens, Katrien Antonio and Gerda Claeskens
Parametric models for distributional data pp. 1119-1146 Downloads
Paula Brito and A. Pedro Duarte Silva
Correction: Characterisation and calibration of multiversal methods pp. 1147-1147 Downloads
Giulio Giacomo Cantone and Venera Tomaselli

Volume 19, issue 3, 2025

Editorial for ADAC issue 3 of volume 19 (2025) pp. 545-549 Downloads
Maurizio Vichi, Andrea Cerioli and Hans A. Kestler
Clustering ensemble extraction: a knowledge reuse framework pp. 551-578 Downloads
Mohaddeseh Sedghi, Ebrahim Akbari, Homayun Motameni and Touraj Banirostam
View selection in multi-view stacking: choosing the meta-learner pp. 579-617 Downloads
Wouter Loon, Marjolein Fokkema, Botond Szabo and Mark Rooij
Comparison of internal evaluation criteria in hierarchical clustering of categorical data pp. 619-648 Downloads
Zdenek Sulc, Jaroslav Hornicek, Hana Rezankova and Jana Cibulkova
Multidimensional scaling for big data pp. 649-670 Downloads
Pedro Delicado and Cristian Pachón-García
Clustering functional data via variational inference pp. 671-720 Downloads
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 Downloads
Niel Roux and Sugnet Gardner-Lubbe
Clustering large mixed-type data with ordinal variables pp. 749-767 Downloads
Gero Szepannek, Rabea Aschenbruck and Adalbert Wilhelm
Natural language processing and financial markets: semi-supervised modelling of coronavirus and economic news pp. 769-793 Downloads
Carlos Moreno-Pérez and Marco Minozzo
Dirichlet compound negative multinomial mixture models and applications pp. 795-830 Downloads
Ornela Bregu and Nizar Bouguila
On some properties of Cronbach’s α coefficient for interval-valued data in questionnaires pp. 831-854 Downloads
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 Downloads
Paolo Giordani, Christian Hennig, Julien Jacques and Carla Rampichini
Asymmetric Laplace scale mixtures for the distribution of cryptocurrency returns pp. 275-322 Downloads
Antonio Punzo and Luca Bagnato
A consensus-constrained parsimonious Gaussian mixture model for clustering hyperspectral images pp. 323-359 Downloads
Ganesh Babu, Aoife Gowen, Michael Fop and Isobel Claire Gormley
Random models for adjusting fuzzy rand index extensions pp. 361-385 Downloads
Ryan DeWolfe and Jeffrey L. Andrews
Clustering and classification of spatio-temporal data using spatial dynamic panel data models pp. 387-435 Downloads
Giuseppe Feo, Francesco Giordano, Sara Milito, Marcella Niglio and Maria Lucia Parrella
Increasing biases can be more efficient than increasing weights pp. 437-468 Downloads
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 Downloads
Luca Brusa and Fulvia Pennoni
Comparing flexible modelling approaches: the varying-thresholds model versus quantile regression pp. 493-514 Downloads
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 Downloads
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 Downloads
Maurizio Vichi, Andrea Cerioli and Hans A. Kestler
Loss-guided stability selection pp. 5-30 Downloads
Tino Werner
QDA classification of high-dimensional data with rare and weak signals pp. 31-65 Downloads
Hanning Chen, Qiang Zhao and Jingjing Wu
RGA: a unified measure of predictive accuracy pp. 67-93 Downloads
Paolo Giudici and Emanuela Raffinetti
k-means clustering for persistent homology pp. 95-119 Downloads
Yueqi Cao, Prudence Leung and Anthea Monod
Robust functional logistic regression pp. 121-145 Downloads
Berkay Akturk, Ufuk Beyaztas, Han Lin Shang and Abhijit Mandal
Spatial quantile clustering of climate data pp. 147-175 Downloads
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 Downloads
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 Downloads
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 Downloads
Dingge Liang, Marco Corneli, Charles Bouveyron and Pierre Latouche
Page updated 2026-04-24