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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)
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Volume 16, issue 1, 2022

Editorial for ADAC issue 1 of volume 16 (2022) pp. 1-3 Downloads
Salvatore Ingrassia, Julien Jacques and Weixin Yao
Model-based clustering and outlier detection with missing data pp. 5-30 Downloads
Hung Tong and Cristina Tortora
Mixed Deep Gaussian Mixture Model: a clustering model for mixed datasets pp. 31-53 Downloads
Robin Fuchs, Denys Pommeret and Cinzia Viroli
Unobserved classes and extra variables in high-dimensional discriminant analysis pp. 55-92 Downloads
Michael Fop, Pierre-Alexandre Mattei, Charles Bouveyron and Thomas Brendan Murphy
Multivariate cluster weighted models using skewed distributions pp. 93-124 Downloads
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 Downloads
Mingxing He and Jiahua Chen
Robust optimal classification trees under noisy labels pp. 155-179 Downloads
Victor Blanco, Alberto Japón and Justo Puerto
Robust clustering of functional directional data pp. 181-199 Downloads
Pedro C. Álvarez-Esteban and Luis A. García-Escudero
An empirical comparison and characterisation of nine popular clustering methods pp. 201-229 Downloads
Christian Hennig

Volume 15, issue 4, 2021

Editorial for ADAC issue 4 of volume 15 (2021) pp. 825-828 Downloads
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 Downloads
Alexandre L. M. Levada
Robust regression with compositional covariates including cellwise outliers pp. 869-909 Downloads
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 Downloads
Roberto Medico, Joeri Ruyssinck, Dirk Deschrijver and Tom Dhaene
Nonlinear dimension reduction for conditional quantiles pp. 937-956 Downloads
Eliana Christou, Annabel Settle and Andreas Artemiou
Hierarchical clustering with discrete latent variable models and the integrated classification likelihood pp. 957-986 Downloads
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 Downloads
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 Downloads
Antonella Plaia, Simona Buscemi and Mariangela Sciandra
Estimating the class prior for positive and unlabelled data via logistic regression pp. 1039-1068 Downloads
Małgorzata Łazęcka, Jan Mielniczuk and Paweł Teisseyre
A convergent algorithm for bi-orthogonal nonnegative matrix tri-factorization pp. 1069-1102 Downloads
Andri Mirzal

Volume 15, issue 3, 2021

Editorial for ADAC issue 3 of volume 15 (2021) pp. 543-546 Downloads
Maurizio Vichi, Andrea Cerioli, Hans Kestler, Akinori Okada and Claus Weihs
Adaptive sparse group LASSO in quantile regression pp. 547-573 Downloads
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 Downloads
Parvaneh Parvasideh and Mansoor Rezghi
Better than the best? Answers via model ensemble in density-based clustering pp. 599-623 Downloads
Alessandro Casa, Luca Scrucca and Giovanna Menardi
Sparse group fused lasso for model segmentation: a hybrid approach pp. 625-671 Downloads
David Degras
A Riemannian geometric framework for manifold learning of non-Euclidean data pp. 673-699 Downloads
Cheongjae Jang, Yung-Kyun Noh and Frank Chongwoo Park
Robust semiparametric inference for polytomous logistic regression with complex survey design pp. 701-734 Downloads
Elena Castilla, Abhik Ghosh, Nirian Martin and Leandro Pardo
Functional data clustering by projection into latent generalized hyperbolic subspaces pp. 735-757 Downloads
Alex Sharp and Ryan Browne
A bivariate finite mixture growth model with selection pp. 759-793 Downloads
David Aristei, Silvia Bacci, Francesco Bartolucci and Silvia Pandolfi
Sparse principal component regression via singular value decomposition approach pp. 795-823 Downloads
Shuichi Kawano

Volume 15, issue 2, 2021

Editorial for ADAC issue 2 of volume 15 (2021) pp. 261-265 Downloads
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 Downloads
Beatriz Sinova, Stefan Van Aelst and Pedro Terán
Isotonic boosting classification rules pp. 289-313 Downloads
David Conde, Miguel A. Fernández, Cristina Rueda and Bonifacio Salvador
Regime dependent interconnectedness among fuzzy clusters of financial time series pp. 315-336 Downloads
Giovanni De Luca and Paola Zuccolotto
Active learning of constraints for weighted feature selection pp. 337-377 Downloads
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 Downloads
Thiago Salles, Leonardo Rocha and Marcos Gonçalves
Hierarchical conceptual clustering based on quantile method for identifying microscopic details in distributional data pp. 407-436 Downloads
Kadri Umbleja, Manabu Ichino and Hiroyuki Yaguchi
Robust archetypoids for anomaly detection in big functional data pp. 437-462 Downloads
Guillermo Vinue and Irene Epifanio
A perceptually optimised bivariate visualisation scheme for high-dimensional fold-change data pp. 463-480 Downloads
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 Downloads
Sharon X. Lee, Tsung-I Lin and Geoffrey J. McLachlan
Clustering of modal-valued symbolic data pp. 513-541 Downloads
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 Downloads
Maurizio Vichi, Andrea Cerioli, Hans Kestler, Akinori Okada and Claus Weihs
Interval forecasts based on regression trees for streaming data pp. 5-36 Downloads
Xin Zhao, Stuart Barber, Charles C. Taylor and Zoka Milan
From-below Boolean matrix factorization algorithm based on MDL pp. 37-56 Downloads
Tatiana Makhalova and Martin Trnecka
A robust spatial autoregressive scalar-on-function regression with t-distribution pp. 57-81 Downloads
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 Downloads
Rudolf Scitovski and Kristian Sabo
Efficient regularized spectral data embedding pp. 99-119 Downloads
Lazhar Labiod and Mohamed Nadif
A cost-sensitive constrained Lasso pp. 121-158 Downloads
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 Downloads
Huimin Pei, Qiang Lin, Liran Yang and Ping Zhong
Kappa coefficients for dichotomous-nominal classifications pp. 193-208 Downloads
Matthijs J. Warrens
Clustering discrete-valued time series pp. 209-229 Downloads
Tyler Roick, Dimitris Karlis and Paul D. McNicholas
Simultaneous dimension reduction and clustering via the NMF-EM algorithm pp. 231-260 Downloads
Léna Carel and Pierre Alquier
Page updated 2022-05-18