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 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

Volume 15, issue 4, 2021

Editorial for ADAC issue 4 of volume 15 (2021) pp. 825-828

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

PCA-KL: a parametric dimensionality reduction approach for unsupervised metric learning pp. 829-868

Alexandre L. M. Levada

Robust regression with compositional covariates including cellwise outliers pp. 869-909

Nikola Štefelová, Andreas Alfons, Javier Palarea-Albaladejo, Peter Filzmoser and Karel Hron

Learning multivariate shapelets with multi-layer neural networks for interpretable time-series classification pp. 911-936

Roberto Medico, Joeri Ruyssinck, Dirk Deschrijver and Tom Dhaene

Nonlinear dimension reduction for conditional quantiles pp. 937-956

Eliana Christou, Annabel Settle and Andreas Artemiou

Hierarchical clustering with discrete latent variable models and the integrated classification likelihood pp. 957-986

Etienne Côme, Nicolas Jouvin, Pierre Latouche and Charles Bouveyron

REMAXINT: a two-mode clustering-based method for statistical inference on two-way interaction pp. 987-1013

Zaheer Ahmed, Alberto Cassese, Gerard Breukelen and Jan Schepers

Consensus among preference rankings: a new weighted correlation coefficient for linear and weak orderings pp. 1015-1037

Antonella Plaia, Simona Buscemi and Mariangela Sciandra

Estimating the class prior for positive and unlabelled data via logistic regression pp. 1039-1068

Małgorzata Łazęcka, Jan Mielniczuk and Paweł Teisseyre

A convergent algorithm for bi-orthogonal nonnegative matrix tri-factorization pp. 1069-1102

Andri Mirzal

Volume 15, issue 3, 2021

Editorial for ADAC issue 3 of volume 15 (2021) pp. 543-546

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

Adaptive sparse group LASSO in quantile regression pp. 547-573

Alvaro Mendez-Civieta, M. Carmen Aguilera-Morillo and Rosa E. Lillo

A novel dictionary learning method based on total least squares approach with application in high dimensional biological data pp. 575-597

Parvaneh Parvasideh and Mansoor Rezghi

Better than the best? Answers via model ensemble in density-based clustering pp. 599-623

Alessandro Casa, Luca Scrucca and Giovanna Menardi

Sparse group fused lasso for model segmentation: a hybrid approach pp. 625-671

David Degras

A Riemannian geometric framework for manifold learning of non-Euclidean data pp. 673-699

Cheongjae Jang, Yung-Kyun Noh and Frank Chongwoo Park

Robust semiparametric inference for polytomous logistic regression with complex survey design pp. 701-734

Elena Castilla, Abhik Ghosh, Nirian Martin and Leandro Pardo

Functional data clustering by projection into latent generalized hyperbolic subspaces pp. 735-757

Alex Sharp and Ryan Browne

A bivariate finite mixture growth model with selection pp. 759-793

David Aristei, Silvia Bacci, Francesco Bartolucci and Silvia Pandolfi

Sparse principal component regression via singular value decomposition approach pp. 795-823

Shuichi Kawano

Volume 15, issue 2, 2021

Editorial for ADAC issue 2 of volume 15 (2021) pp. 261-265

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

M-estimators and trimmed means: from Hilbert-valued to fuzzy set-valued data pp. 267-288

Beatriz Sinova, Stefan Van Aelst and Pedro Terán

Isotonic boosting classification rules pp. 289-313

David Conde, Miguel A. Fernández, Cristina Rueda and Bonifacio Salvador

Regime dependent interconnectedness among fuzzy clusters of financial time series pp. 315-336

Giovanni De Luca and Paola Zuccolotto

Active learning of constraints for weighted feature selection pp. 337-377

Samah Hijazi, Denis Hamad, Mariam Kalakech and Ali Kalakech

A bias-variance analysis of state-of-the-art random forest text classifiers pp. 379-405

Thiago Salles, Leonardo Rocha and Marcos Gonçalves

Hierarchical conceptual clustering based on quantile method for identifying microscopic details in distributional data pp. 407-436

Kadri Umbleja, Manabu Ichino and Hiroyuki Yaguchi

Robust archetypoids for anomaly detection in big functional data pp. 437-462

Guillermo Vinue and Irene Epifanio

A perceptually optimised bivariate visualisation scheme for high-dimensional fold-change data pp. 463-480

André Müller, Ludwig Lausser, Adalbert Wilhelm, Timo Ropinski, Matthias Platzer, Heiko Neumann and Hans A. Kestler

Mixtures of factor analyzers with scale mixtures of fundamental skew normal distributions pp. 481-512

Sharon X. Lee, Tsung-I Lin and Geoffrey J. McLachlan

Clustering of modal-valued symbolic data pp. 513-541

Nataša Kejžar, Simona Korenjak-Černe and Vladimir Batagelj

Volume 15, issue 1, 2021

Editorial for ADAC issue 1 of volume 15 (2021) pp. 1-4

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

Interval forecasts based on regression trees for streaming data pp. 5-36

Xin Zhao, Stuart Barber, Charles C. Taylor and Zoka Milan

From-below Boolean matrix factorization algorithm based on MDL pp. 37-56

Tatiana Makhalova and Martin Trnecka

A robust spatial autoregressive scalar-on-function regression with t-distribution pp. 57-81

Tingting Huang, Gilbert Saporta, Huiwen Wang and Shanshan Wang

A combination of k-means and DBSCAN algorithm for solving the multiple generalized circle detection problem pp. 83-98

Rudolf Scitovski and Kristian Sabo

Efficient regularized spectral data embedding pp. 99-119

Lazhar Labiod and Mohamed Nadif

A cost-sensitive constrained Lasso pp. 121-158

Rafael Blanquero, Emilio Carrizosa, Pepa Ramírez-Cobo and M. Remedios Sillero-Denamiel

A novel semi-supervised support vector machine with asymmetric squared loss pp. 159-191

Huimin Pei, Qiang Lin, Liran Yang and Ping Zhong

Kappa coefficients for dichotomous-nominal classifications pp. 193-208

Matthijs J. Warrens

Clustering discrete-valued time series pp. 209-229

Tyler Roick, Dimitris Karlis and Paul D. McNicholas

Simultaneous dimension reduction and clustering via the NMF-EM algorithm pp. 231-260

Léna Carel and Pierre Alquier