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Advances in Data Analysis and Classification, Volume 17
Volume 17, Number 1, March 2023
- Maurizio Vichi, Andrea Cerioli, Hans A. Kestler, Akinori Okada, Claus Weihs:
Editorial for ADAC issue 1 of volume 17 (2023). 1-4 - Nerea González-García, Ana Belén Nieto-Librero, Purificación Galindo Villardon:
CenetBiplot: a new proposal of sparse and orthogonal biplots methods by means of elastic net CSVD. 5-19 - Abdullah H. Jalilian, Jorge Mateu:
Assessing similarities between spatial point patterns with a Siamese neural network discriminant model. 21-42 - David P. Hofmeyr, Francois Kamper, Michail C. Melonas:
Optimal projections for Gaussian discriminants. 43-73 - Xavier Bry, Ndèye Niang, Thomas Verron, Stéphanie Bougeard:
Clusterwise elastic-net regression based on a combined information criterion. 75-107 - David J. Hand, Christoforos Anagnostopoulos:
Notes on the H-measure of classifier performance. 109-124 - José E. Chacón, Ana I. Rastrojo:
Minimum adjusted Rand index for two clusterings of a given size. 125-133 - Paul Riverain, Simon Fossier, Mohamed Nadif:
Poisson degree corrected dynamic stochastic block model. 135-162 - Kuniyoshi Hayashi, Eri Hoshino, Mitsuyoshi Suzuki, Kotomi Sakai, Masayuki Obatake, Osamu Takahashi:
Early identification of biliary atresia using subspace and the bootstrap methods. 163-179 - Atefeh Zarei, Zahra Khodadadi, Mohsen Maleki, Karim Zare:
Robust mixture regression modeling based on two-piece scale mixtures of normal distributions. 181-210 - Theresa Ullmann, Anna Beer, Maximilian Hünemörder, Thomas Seidl, Anne-Laure Boulesteix:
Over-optimistic evaluation and reporting of novel cluster algorithms: an illustrative study. 211-238 - Nicola Loperfido:
Kurtosis removal for data pre-processing. 239-267 - Rosember Guerra-Urzola, Niek C. de Schipper, Anya Tonne, Klaas Sijtsma, Juan C. Vera, Katrijn Van Deun:
Sparsifying the least-squares approach to PCA: comparison of lasso and cardinality constraint. 269-286
Volume 17, Number 2, June 2023
- Maurizio Vichi, Andrea Cerioli, Hans A. Kestler, Akinori Okada, Claus Weihs:
Editorial for ADAC issue 2 of volume 17 (2023). 287-290 - Christian Acal, Ana M. Aguilera:
Basis expansion approaches for functional analysis of variance with repeated measures. 291-321 - Federico Ferraccioli, Giovanna Menardi:
Modal clustering of matrix-variate data. 323-345 - Naoto Yamashita:
Principal component analysis constrained by layered simple structures. 347-367 - Jan Vávra, Arnost Komárek:
Classification based on multivariate mixed type longitudinal data with an application to the EU-SILC database. 369-406 - Emilio Carrizosa, Vanesa Guerrero, Dolores Romero Morales:
On mathematical optimization for clustering categories in contingency tables. 407-429 - Anna Gottard, Giulia Vannucci, Leonardo Grilli, Carla Rampichini:
Mixed-effect models with trees. 431-461 - Javier Albert-Smet, Aurora Torrente, Juan Romo:
Band depth based initialization of K-means for functional data clustering. 463-484 - Antonio Elías, Raúl Jiménez, Joseph E. Yukich:
Localization processes for functional data analysis. 485-517 - Leonie Selk, Jan Gertheiss:
Nonparametric regression and classification with functional, categorical, and mixed covariates. 519-543
Volume 17, Number 3, September 2023
- Maurizio Vichi, Andrea Cerioli, Hans A. Kestler, Akinori Okada, Claus Weihs:
Editorial for ADAC issue 3 of volume 17 (2023). 545-548 - Licheng Zhao, Yi Zuo, Katsutoshi Yada:
Sequential classification of customer behavior based on sequence-to-sequence learning with gated-attention neural networks. 549-581 - Qing Zhao, Huiwen Wang, Shanshan Wang:
Robust regression for interval-valued data based on midpoints and log-ranges. 583-621 - Vincent Audigier, Ndèye Niang:
Clustering with missing data: which equivalent for Rubin's rules? 623-657 - Boris Beranger, Huan Lin, Scott A. Sisson:
New models for symbolic data analysis. 659-699 - Efthymios Costa, Ioanna Papatsouma, Angelos I. Markos:
Benchmarking distance-based partitioning methods for mixed-type data. 701-724 - Fatma Najar, Nizar Bouguila:
On smoothing and scaling language model for sentiment based information retrieval. 725-744 - Marco Berrettini, Giuliano Galimberti, Saverio Ranciati:
Semiparametric finite mixture of regression models with Bayesian P-splines. 745-775 - Qin Wang, Yuan Xue:
A structured covariance ensemble for sufficient dimension reduction. 777-800 - Alex Sharp, Glen Chalatov, Ryan P. Browne:
A dual subspace parsimonious mixture of matrix normal distributions. 801-822
Volume 17, Number 4, December 2023
- Maurizio Vichi, Andrea Cerioli, Hans A. Kestler, Akinori Okada, Claus Weihs:
Editorial for ADAC issue 4 of volume 17 (2023). 823-827 - Serge Vicente, Alejandro Murua-Sazo:
Determinantal consensus clustering. 829-858 - Eustasio del Barrio, Hristo Inouzhe, Jean-Michel Loubes:
Attraction-repulsion clustering: a way of promoting diversity linked to demographic parity in fair clustering. 859-896 - Liang-Ching Lin, Meihui Guo, Sangyeol Lee:
Monitoring photochemical pollutants based on symbolic interval-valued data analysis. 897-926 - Hyukjun Gweon:
A power-controlled reliability assessment for multi-class probabilistic classifiers. 927-949 - Ronald Richman, Mario V. Wüthrich:
LASSO regularization within the LocalGLMnet architecture. 951-981 - Summer Atkins, Gudmundur Einarsson, Line Harder Clemmensen, Brendan P. W. Ames:
Proximal methods for sparse optimal scoring and discriminant analysis. 983-1036 - Ruiping Liu, Ndeye Niang, Gilbert Saporta, Huiwen Wang:
Sparse correspondence analysis for large contingency tables. 1037-1056 - Simon De Vos, Toon Vanderschueren, Tim Verdonck, Wouter Verbeke:
Robust instance-dependent cost-sensitive classification. 1057-1079 - Marie du Roy de Chaumaray, Matthieu Marbac:
Clustering data with non-ignorable missingness using semi-parametric mixture models assuming independence within components. 1081-1122
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