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 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

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