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 17, issue 4, 2023

Editorial for ADAC issue 4 of volume 17 (2023) pp. 823-827

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

Determinantal consensus clustering pp. 829-858

Serge Vicente and Alejandro Murua-Sazo

Attraction-repulsion clustering: a way of promoting diversity linked to demographic parity in fair clustering pp. 859-896

Eustasio Barrio, Hristo Inouzhe and Jean-Michel Loubes

Monitoring photochemical pollutants based on symbolic interval-valued data analysis pp. 897-926

Liang-Ching Lin, Meihui Guo and Sangyeol Lee

A power-controlled reliability assessment for multi-class probabilistic classifiers pp. 927-949

Hyukjun Gweon

LASSO regularization within the LocalGLMnet architecture pp. 951-981

Ronald Richman and Mario V. Wüthrich

Proximal methods for sparse optimal scoring and discriminant analysis pp. 983-1036

Summer Atkins, Gudmundur Einarsson, Line Clemmensen and Brendan Ames

Sparse correspondence analysis for large contingency tables pp. 1037-1056

Ruiping Liu, Ndeye Niang, Gilbert Saporta and Huiwen Wang

Robust instance-dependent cost-sensitive classification pp. 1057-1079

Simon De Vos, Toon Vanderschueren, Tim Verdonck and Wouter Verbeke

Clustering data with non-ignorable missingness using semi-parametric mixture models assuming independence within components pp. 1081-1122

Marie du Roy de Chaumaray and Matthieu Marbac

Volume 17, issue 3, 2023

Editorial for ADAC issue 3 of volume 17 (2023) pp. 545-548

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

Sequential classification of customer behavior based on sequence-to-sequence learning with gated-attention neural networks pp. 549-581

Licheng Zhao, Yi Zuo and Katsutoshi Yada

Robust regression for interval-valued data based on midpoints and log-ranges pp. 583-621

Qing Zhao, Huiwen Wang and Shanshan Wang

Clustering with missing data: which equivalent for Rubin’s rules? pp. 623-657

Vincent Audigier and Ndèye Niang

New models for symbolic data analysis pp. 659-699

Boris Beranger, Huan Lin and Scott Sisson

Benchmarking distance-based partitioning methods for mixed-type data pp. 701-724

Efthymios Costa, Ioanna Papatsouma and Angelos Markos

On smoothing and scaling language model for sentiment based information retrieval pp. 725-744

Fatma Najar and Nizar Bouguila

Semiparametric finite mixture of regression models with Bayesian P-splines pp. 745-775

Marco Berrettini, Giuliano Galimberti and Saverio Ranciati

A structured covariance ensemble for sufficient dimension reduction pp. 777-800

Qin Wang and Yuan Xue

A dual subspace parsimonious mixture of matrix normal distributions pp. 801-822

Alex Sharp, Glen Chalatov and Ryan P. Browne

Volume 17, issue 2, 2023

Editorial for ADAC issue 2 of volume 17 (2023) pp. 287-290

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

Basis expansion approaches for functional analysis of variance with repeated measures pp. 291-321

Christian Acal and Ana M. Aguilera

Modal clustering of matrix-variate data pp. 323-345

Federico Ferraccioli and Giovanna Menardi

Principal component analysis constrained by layered simple structures pp. 347-367

Naoto Yamashita

Classification based on multivariate mixed type longitudinal data with an application to the EU-SILC database pp. 369-406

Jan Vávra and Arnošt Komárek

On mathematical optimization for clustering categories in contingency tables pp. 407-429

Emilio Carrizosa, Vanesa Guerrero and Dolores Romero Morales

Mixed-effect models with trees pp. 431-461

Anna Gottard, Giulia Vannucci, Leonardo Grilli and Carla Rampichini

Band depth based initialization of K-means for functional data clustering pp. 463-484

Javier Albert-Smet, Aurora Torrente and Juan Romo

Localization processes for functional data analysis pp. 485-517

Antonio Elías, Raúl Jiménez and J. E. Yukich

Nonparametric regression and classification with functional, categorical, and mixed covariates pp. 519-543

Leonie Selk and Jan Gertheiss

Volume 17, issue 1, 2023

Editorial for ADAC issue 1 of volume 17 (2023) pp. 1-4

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

CenetBiplot: a new proposal of sparse and orthogonal biplots methods by means of elastic net CSVD pp. 5-19

Nerea González-García, Ana Belén Nieto-Librero and Purificación Galindo-Villardón

Assessing similarities between spatial point patterns with a Siamese neural network discriminant model pp. 21-42

Abdollah Jalilian and Jorge Mateu

Optimal projections for Gaussian discriminants pp. 43-73

David P. Hofmeyr, Francois Kamper and Michail C. Melonas

Clusterwise elastic-net regression based on a combined information criterion pp. 75-107

Xavier Bry, Ndèye Niang, Thomas Verron and Stéphanie Bougeard

Notes on the H-measure of classifier performance pp. 109-124

D. J. Hand and C. Anagnostopoulos

Minimum adjusted Rand index for two clusterings of a given size pp. 125-133

José E. Chacón and Ana I. Rastrojo

Poisson degree corrected dynamic stochastic block model pp. 135-162

Paul Riverain, Simon Fossier and Mohamed Nadif

Early identification of biliary atresia using subspace and the bootstrap methods pp. 163-179

Kuniyoshi Hayashi, Eri Hoshino, Mitsuyoshi Suzuki, Kotomi Sakai, Masayuki Obatake and Osamu Takahashi

Robust mixture regression modeling based on two-piece scale mixtures of normal distributions pp. 181-210

Atefeh Zarei, Zahra Khodadadi, Mohsen Maleki and Karim Zare

Over-optimistic evaluation and reporting of novel cluster algorithms: an illustrative study pp. 211-238

Theresa Ullmann, Anna Beer, Maximilian Hünemörder, Thomas Seidl and Anne-Laure Boulesteix

Kurtosis removal for data pre-processing pp. 239-267

Nicola Loperfido

Sparsifying the least-squares approach to PCA: comparison of lasso and cardinality constraint pp. 269-286

Rosember Guerra-Urzola, Niek C. Schipper, Anya Tonne, Klaas Sijtsma, Juan C. Vera and Katrijn Deun

Volume 16, issue 4, 2022

Editorial for ADAC issue 4 of volume 16 (2022) pp. 817-821

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

Is there a role for statistics in artificial intelligence? pp. 823-846

Sarah Friedrich, Gerd Antes, Sigrid Behr, Harald Binder, Werner Brannath, Florian Dumpert, Katja Ickstadt, Hans A. Kestler, Johannes Lederer, Heinz Leitgöb, Markus Pauly, Ansgar Steland, Adalbert Wilhelm and Tim Friede

SUBiNN: a stacked uni- and bivariate kNN sparse ensemble pp. 847-874

Tiffany Elsten and Mark Rooij

A comparison of two dissimilarity functions for mixed-type predictor variables in the $$\delta $$ δ -machine pp. 875-907

Beibei Yuan, Willem Heiser and Mark Rooij

Quantile composite-based path modeling: algorithms, properties and applications pp. 909-949

Pasquale Dolce, Cristina Davino and Domenico Vistocco

Sparse dimension reduction based on energy and ball statistics pp. 951-975

Emmanuel Jordy Menvouta, Sven Serneels and Tim Verdonck

The minimum weighted covariance determinant estimator for high-dimensional data pp. 977-999

Jan Kalina and Jan Tichavský

Least-squares bilinear clustering of three-way data pp. 1001-1037

Pieter C. Schoonees, Patrick J. F. Groenen and Michel Velden

Polynomial approximate discretization of geometric centers in high-dimensional Euclidean space pp. 1039-1067

Vladimir Shenmaier

Independence versus indetermination: basis of two canonical clustering criteria pp. 1069-1093

Pierre Bertrand, Michel Broniatowski and Jean-François Marcotorchino

Correction to: Robust optimal classification trees under noisy labels pp. 1095-1095

Victor Blanco, Alberto Japón and Justo Puerto

Correction to: Multivariate cluster weighted models using skewed distributions pp. 1097-1097

Michael P. B. Gallaugher, Salvatore D. Tomarchio, Paul D. McNicholas and Antonio Punzo

Correction to: Principal component analysis constrained by layered simple structures pp. 1099-1100

Naoto Yamashita

Volume 16, issue 3, 2022

Editorial for ADAC issue 3 of volume 16 (2022) pp. 487-490

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

Association measures for interval variables pp. 491-520

M. Rosário Oliveira, Margarida Azeitona, António Pacheco and Rui Valadas

Finite mixture modeling of censored and missing data using the multivariate skew-normal distribution pp. 521-557

Francisco H. C. Alencar, Christian E. Galarza, Larissa A. Matos and Victor H. Lachos

Prediction of brand stories spreading on social networks pp. 559-591

Thi Bich Ngoc Hoang and Josiane Mothe

Mining maximal frequent rectangles pp. 593-616

Irani Hazarika and Anjana Kakoti Mahanta

A fingerprint of a heterogeneous data set pp. 617-657

Matteo Spallanzani, Gueorgui Mihaylov, Marco Prato and Roberto Fontana

Robust clustering via mixtures of t factor analyzers with incomplete data pp. 659-690

Wan-Lun Wang and Tsung-I Lin

Model-based clustering for random hypergraphs pp. 691-723

Tin Lok James Ng and Thomas Brendan Murphy

Detecting and classifying outliers in big functional data pp. 725-760

Oluwasegun Taiwo Ojo, Antonio Fernández Anta, Rosa E. Lillo and Carlo Sguera

Nonparametric estimation of directional highest density regions pp. 761-796

Paula Saavedra-Nieves and Rosa M. Crujeiras

Subgroup identification in individual participant data meta-analysis using model-based recursive partitioning pp. 797-815

Cynthia Huber, Norbert Benda and Tim Friede

Volume 16, issue 2, 2022

Special issue on “Models and learning for clustering and Classification” pp. 231-234

Salvatore Ingrassia, Julien Jacques and Weixin Yao

Are attitudes toward immigration changing in Europe? An analysis based on latent class IRT models pp. 235-271

Ewa Genge and Francesco Bartolucci

A two-step estimator for generalized linear models for longitudinal data with time-varying measurement error pp. 273-300

Roberto Mari and Antonello Maruotti

Robust logistic zero-sum regression for microbiome compositional data pp. 301-324

G. S. Monti and P. Filzmoser

How many data clusters are in the Galaxy data set? pp. 325-349

Bettina Grün, Gertraud Malsiner-Walli and Sylvia Frühwirth-Schnatter

A new three-step method for using inverse propensity weighting with latent class analysis pp. 351-371

F. J. Clouth, S. Pauws, F. Mols and J. K. Vermunt

Factor and hybrid components for model-based clustering pp. 373-398

Jason Hou-Liu and Ryan P. Browne

Gaussian mixture model with an extended ultrametric covariance structure pp. 399-427

Carlo Cavicchia, Maurizio Vichi and Giorgia Zaccaria

A von Mises–Fisher mixture model for clustering numerical and categorical variables pp. 429-455

Xavier Bry and Lionel Cucala

Model-based two-way clustering of second-level units in ordinal multilevel latent Markov models pp. 457-485

Giorgio Eduardo Montanari, Marco Doretti and Maria Francesca Marino

Volume 16, issue 1, 2022

Editorial for ADAC issue 1 of volume 16 (2022) pp. 1-3

Salvatore Ingrassia, Julien Jacques and Weixin Yao

Model-based clustering and outlier detection with missing data pp. 5-30

Hung Tong and Cristina Tortora

Mixed Deep Gaussian Mixture Model: a clustering model for mixed datasets pp. 31-53

Robin Fuchs, Denys Pommeret and Cinzia Viroli

Unobserved classes and extra variables in high-dimensional discriminant analysis pp. 55-92

Michael Fop, Pierre-Alexandre Mattei, Charles Bouveyron and Thomas Brendan Murphy

Multivariate cluster weighted models using skewed distributions pp. 93-124

Michael P. B. Gallaugher, Salvatore D. Tomarchio, Paul D. McNicholas and Antonio Punzo

Strong consistency of the MLE under two-parameter Gamma mixture models with a structural scale parameter pp. 125-154

Mingxing He and Jiahua Chen

Robust optimal classification trees under noisy labels pp. 155-179

Victor Blanco, Alberto Japón and Justo Puerto

Robust clustering of functional directional data pp. 181-199

Pedro C. Álvarez-Esteban and Luis A. García-Escudero

An empirical comparison and characterisation of nine popular clustering methods pp. 201-229

Christian Hennig