Advances in Data Analysis and Classification
2008 - 2022
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) Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing (). Access Statistics for this journal.
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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
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