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 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