Advances in Data Analysis and Classification

2008 - 2025

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 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

Volume 18, issue 4, 2024

Editorial for ADAC issue 4 of volume 18 (2024) pp. 823-826

Maurizio Vichi, Andrea Cerioli, Hans A. Kestler, Akinori Okada and Claus Weihs

MLE for the parameters of bivariate interval-valued model pp. 827-850

S. Yaser Samadi, L. Billard, Jiin-Huarng Guo and Wei Xu

On the efficient implementation of classification rule learning pp. 851-892

Michael Rapp, Johannes Fürnkranz and Eyke Hüllermeier

Generalized Cramér’s coefficient via f-divergence for contingency tables pp. 893-910

Wataru Urasaki, Tomoyuki Nakagawa, Tomotaka Momozaki and Sadao Tomizawa

Discovering interpretable structure in longitudinal predictors via coefficient trees pp. 911-951

Özge Sürer, Daniel W. Apley and Edward C. Malthouse

Profile-based latent class distance association analyses for sparse tables:application to the attitude of European citizens towards sustainable tourism pp. 953-980

Francesca Bassi, José Fernando Vera and Juan Antonio Marmolejo Martín

A new model for counterfactual analysis for functional data pp. 981-1000

Emilio Carrizosa, Jasone Ramírez-Ayerbe and Dolores Romero Morales

Applications of dual regularized Laplacian matrix for community detection pp. 1001-1043

Huan Qing and Jingli Wang

Functional clustering of fictional narratives using Vonnegut curves pp. 1045-1066

Shan Zhong and David B. Hitchcock

A fresh look at mean-shift based modal clustering pp. 1067-1095

Jose Ameijeiras-Alonso and Jochen Einbeck

Volume 18, issue 3, 2024

Special issue on “New methodologies in clustering and classification for complex and/or big data” pp. 539-543

Paula Brito, Andrea Cerioli, Luis Angel García-Escudero and Gilbert Saporta

Finite mixture of hidden Markov models for tensor-variate time series data pp. 545-562

Abdullah Asilkalkan, Xuwen Zhu and Shuchismita Sarkar

Model-based clustering of functional data via mixtures of t distributions pp. 563-595

Cristina Anton and Iain Smith

Parsimony and parameter estimation for mixtures of multivariate leptokurtic-normal distributions pp. 597-625

Ryan P. Browne, Luca Bagnato and Antonio Punzo

Theory of angular depth for classification of directional data pp. 627-662

Stanislav Nagy, Houyem Demni, Davide Buttarazzi and Giovanni C. Porzio

Robust and sparse logistic regression pp. 663-679

Dries Cornilly, Lise Tubex, Stefan Van Aelst and Tim Verdonck

Variational inference for semiparametric Bayesian novelty detection in large datasets pp. 681-703

Luca Benedetti, Eric Boniardi, Leonardo Chiani, Jacopo Ghirri, Marta Mastropietro, Andrea Cappozzo and Francesco Denti

Neural networks with functional inputs for multi-class supervised classification of replicated point patterns pp. 705-721

Kateřina Pawlasová, Iva Karafiátová and Jiří Dvořák

Natural-neighborhood based, label-specific undersampling for imbalanced, multi-label data pp. 723-744

Payel Sadhukhan and Sarbani Palit

An analytic strategy for data processing of multimode networks pp. 745-767

Vincenzo Giuseppe Genova, Giuseppe Giordano, Giancarlo Ragozini and Maria Prosperina Vitale

The chiPower transformation: a valid alternative to logratio transformations in compositional data analysis pp. 769-796

Michael Greenacre

Liszt’s Étude S.136 no.1: audio data analysis of two different piano recordings pp. 797-822

Matteo Farnè

Volume 18, issue 2, 2024

Editorial for ADAC issue 2 of volume 18 (2024) pp. 245-249

Maurizio Vichi, Andrea Cerioli, Hans A. Kestler, Akinori Okada and Claus Weihs

On discriminating between lognormal and Pareto tail: an unsupervised mixture-based approach pp. 251-269

Marco Bee

Extending finite mixtures of nonlinear mixed-effects models with covariate-dependent mixing weights pp. 271-307

Wan-Lun Wang, Yu-Chen Yang and Tsung-I Lin

Constrained clustering and multiple kernel learning without pairwise constraint relaxation pp. 309-324

Benedikt Boecking, Vincent Jeanselme and Artur Dubrawski

Threshold-based Naïve Bayes classifier pp. 325-361

Maurizio Romano, Giulia Contu, Francesco Mola and Claudio Conversano

Identification of representative trees in random forests based on a new tree-based distance measure pp. 363-380

Björn-Hergen Laabs, Ana Westenberger and Inke R. König

Composite likelihood methods for parsimonious model-based clustering of mixed-type data pp. 381-407

Monia Ranalli and Roberto Rocci

An enhanced version of the SSA-HJ-biplot for time series with complex structure pp. 409-430

Alberto Silva and Adelaide Freitas

Application of distance standard deviation in functional data analysis pp. 431-454

Mirosław Krzyśko and Łukasz Smaga

Multivariate count time series segmentation with “sums and shares” and Poisson lognormal mixture models: a comparative study using pedestrian flows within a multimodal transport hub pp. 455-491

Paul Nailly, Etienne Côme, Latifa Oukhellou, Allou Samé, Jacques Ferriere and Yasmine Merad-Boudia

A topological data analysis based classifier pp. 493-538

Rolando Kindelan, José Frías, Mauricio Cerda and Nancy Hitschfeld

Volume 18, issue 1, 2024

Special issue on “advances in models and learning for clustering and classification” pp. 1-4

Luis-Angel García-Escudero, Salvatore Ingrassia and T. Brendan Murphy

Semiparametric mixture of linear regressions with nonparametric Gaussian scale mixture errors pp. 5-31

Sangkon Oh and Byungtae Seo

Flexible mixture regression with the generalized hyperbolic distribution pp. 33-60

Nam-Hwui Kim and Ryan P. Browne

Model-based clustering using a new multivariate skew distribution pp. 61-83

Salvatore D. Tomarchio, Luca Bagnato and Antonio Punzo

Contamination transformation matrix mixture modeling for skewed data groups with heavy tails and scatter pp. 85-101

Xuwen Zhu, Yana Melnykov and Angelina S. Kolomoytseva

Mixture modeling with normalizing flows for spherical density estimation pp. 103-120

Tin Lok James Ng and Andrew Zammit-Mangion

Co-clustering contaminated data: a robust model-based approach pp. 121-161

Edoardo Fibbi, Domenico Perrotta, Francesca Torti, Stefan Van Aelst and Tim Verdonck

A between-cluster approach for clustering skew-symmetric data pp. 163-192

Donatella Vicari and Cinzia Di Nuzzo

The role of diversity and ensemble learning in credit card fraud detection pp. 193-217

Gian Marco Paldino, Bertrand Lebichot, Yann-Aël Le Borgne, Wissam Siblini, Frédéric Oblé, Giacomo Boracchi and Gianluca Bontempi

Claims fraud detection with uncertain labels pp. 219-243

Félix Vandervorst, Wouter Verbeke and Tim Verdonck