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Content
June 2022, Volume 16, Issue 2
- 231-234 Special issue on “Models and learning for clustering and Classification”
by Salvatore Ingrassia & Julien Jacques & Weixin Yao - 235-271 Are attitudes toward immigration changing in Europe? An analysis based on latent class IRT models
by Ewa Genge & Francesco Bartolucci - 273-300 A two-step estimator for generalized linear models for longitudinal data with time-varying measurement error
by Roberto Mari & Antonello Maruotti - 301-324 Robust logistic zero-sum regression for microbiome compositional data
by G. S. Monti & P. Filzmoser - 325-349 How many data clusters are in the Galaxy data set?
by Bettina Grün & Gertraud Malsiner-Walli & Sylvia Frühwirth-Schnatter - 351-371 A new three-step method for using inverse propensity weighting with latent class analysis
by F. J. Clouth & S. Pauws & F. Mols & J. K. Vermunt - 373-398 Factor and hybrid components for model-based clustering
by Jason Hou-Liu & Ryan P. Browne - 399-427 Gaussian mixture model with an extended ultrametric covariance structure
by Carlo Cavicchia & Maurizio Vichi & Giorgia Zaccaria - 429-455 A von Mises–Fisher mixture model for clustering numerical and categorical variables
by Xavier Bry & Lionel Cucala - 457-485 Model-based two-way clustering of second-level units in ordinal multilevel latent Markov models
by Giorgio Eduardo Montanari & Marco Doretti & Maria Francesca Marino
March 2022, Volume 16, Issue 1
- 1-3 Editorial for ADAC issue 1 of volume 16 (2022)
by Salvatore Ingrassia & Julien Jacques & Weixin Yao - 5-30 Model-based clustering and outlier detection with missing data
by Hung Tong & Cristina Tortora - 31-53 Mixed Deep Gaussian Mixture Model: a clustering model for mixed datasets
by Robin Fuchs & Denys Pommeret & Cinzia Viroli - 55-92 Unobserved classes and extra variables in high-dimensional discriminant analysis
by Michael Fop & Pierre-Alexandre Mattei & Charles Bouveyron & Thomas Brendan Murphy - 93-124 Multivariate cluster weighted models using skewed distributions
by Michael P. B. Gallaugher & Salvatore D. Tomarchio & Paul D. McNicholas & Antonio Punzo - 125-154 Strong consistency of the MLE under two-parameter Gamma mixture models with a structural scale parameter
by Mingxing He & Jiahua Chen - 155-179 Robust optimal classification trees under noisy labels
by Victor Blanco & Alberto Japón & Justo Puerto - 181-199 Robust clustering of functional directional data
by Pedro C. Álvarez-Esteban & Luis A. García-Escudero - 201-229 An empirical comparison and characterisation of nine popular clustering methods
by Christian Hennig
December 2021, Volume 15, Issue 4
- 825-828 Editorial for ADAC issue 4 of volume 15 (2021)
by Maurizio Vichi & Andrea Cerioli & Hans A. Kestler & Akinori Okada & Claus Weihs - 829-868 PCA-KL: a parametric dimensionality reduction approach for unsupervised metric learning
by Alexandre L. M. Levada - 869-909 Robust regression with compositional covariates including cellwise outliers
by Nikola Štefelová & Andreas Alfons & Javier Palarea-Albaladejo & Peter Filzmoser & Karel Hron - 911-936 Learning multivariate shapelets with multi-layer neural networks for interpretable time-series classification
by Roberto Medico & Joeri Ruyssinck & Dirk Deschrijver & Tom Dhaene - 937-956 Nonlinear dimension reduction for conditional quantiles
by Eliana Christou & Annabel Settle & Andreas Artemiou - 957-986 Hierarchical clustering with discrete latent variable models and the integrated classification likelihood
by Etienne Côme & Nicolas Jouvin & Pierre Latouche & Charles Bouveyron - 987-1013 REMAXINT: a two-mode clustering-based method for statistical inference on two-way interaction
by Zaheer Ahmed & Alberto Cassese & Gerard Breukelen & Jan Schepers - 1015-1037 Consensus among preference rankings: a new weighted correlation coefficient for linear and weak orderings
by Antonella Plaia & Simona Buscemi & Mariangela Sciandra - 1039-1068 Estimating the class prior for positive and unlabelled data via logistic regression
by Małgorzata Łazęcka & Jan Mielniczuk & Paweł Teisseyre - 1069-1102 A convergent algorithm for bi-orthogonal nonnegative matrix tri-factorization
by Andri Mirzal
September 2021, Volume 15, Issue 3
- 543-546 Editorial for ADAC issue 3 of volume 15 (2021)
by Maurizio Vichi & Andrea Cerioli & Hans Kestler & Akinori Okada & Claus Weihs - 547-573 Adaptive sparse group LASSO in quantile regression
by Alvaro Mendez-Civieta & M. Carmen Aguilera-Morillo & Rosa E. Lillo - 575-597 A novel dictionary learning method based on total least squares approach with application in high dimensional biological data
by Parvaneh Parvasideh & Mansoor Rezghi - 599-623 Better than the best? Answers via model ensemble in density-based clustering
by Alessandro Casa & Luca Scrucca & Giovanna Menardi - 625-671 Sparse group fused lasso for model segmentation: a hybrid approach
by David Degras - 673-699 A Riemannian geometric framework for manifold learning of non-Euclidean data
by Cheongjae Jang & Yung-Kyun Noh & Frank Chongwoo Park - 701-734 Robust semiparametric inference for polytomous logistic regression with complex survey design
by Elena Castilla & Abhik Ghosh & Nirian Martin & Leandro Pardo - 735-757 Functional data clustering by projection into latent generalized hyperbolic subspaces
by Alex Sharp & Ryan Browne - 759-793 A bivariate finite mixture growth model with selection
by David Aristei & Silvia Bacci & Francesco Bartolucci & Silvia Pandolfi - 795-823 Sparse principal component regression via singular value decomposition approach
by Shuichi Kawano
June 2021, Volume 15, Issue 2
- 261-265 Editorial for ADAC issue 2 of volume 15 (2021)
by Maurizio Vichi & Andrea Cerioli & Hans Kestler & Akinori Okada & Claus Weihs - 267-288 M-estimators and trimmed means: from Hilbert-valued to fuzzy set-valued data
by Beatriz Sinova & Stefan Van Aelst & Pedro Terán - 289-313 Isotonic boosting classification rules
by David Conde & Miguel A. Fernández & Cristina Rueda & Bonifacio Salvador - 315-336 Regime dependent interconnectedness among fuzzy clusters of financial time series
by Giovanni De Luca & Paola Zuccolotto - 337-377 Active learning of constraints for weighted feature selection
by Samah Hijazi & Denis Hamad & Mariam Kalakech & Ali Kalakech - 379-405 A bias-variance analysis of state-of-the-art random forest text classifiers
by Thiago Salles & Leonardo Rocha & Marcos Gonçalves - 407-436 Hierarchical conceptual clustering based on quantile method for identifying microscopic details in distributional data
by Kadri Umbleja & Manabu Ichino & Hiroyuki Yaguchi - 437-462 Robust archetypoids for anomaly detection in big functional data
by Guillermo Vinue & Irene Epifanio - 463-480 A perceptually optimised bivariate visualisation scheme for high-dimensional fold-change data
by André Müller & Ludwig Lausser & Adalbert Wilhelm & Timo Ropinski & Matthias Platzer & Heiko Neumann & Hans A. Kestler - 481-512 Mixtures of factor analyzers with scale mixtures of fundamental skew normal distributions
by Sharon X. Lee & Tsung-I Lin & Geoffrey J. McLachlan - 513-541 Clustering of modal-valued symbolic data
by Nataša Kejžar & Simona Korenjak-Černe & Vladimir Batagelj
March 2021, Volume 15, Issue 1
- 1-4 Editorial for ADAC issue 1 of volume 15 (2021)
by Maurizio Vichi & Andrea Cerioli & Hans Kestler & Akinori Okada & Claus Weihs - 5-36 Interval forecasts based on regression trees for streaming data
by Xin Zhao & Stuart Barber & Charles C. Taylor & Zoka Milan - 37-56 From-below Boolean matrix factorization algorithm based on MDL
by Tatiana Makhalova & Martin Trnecka - 57-81 A robust spatial autoregressive scalar-on-function regression with t-distribution
by Tingting Huang & Gilbert Saporta & Huiwen Wang & Shanshan Wang - 83-98 A combination of k-means and DBSCAN algorithm for solving the multiple generalized circle detection problem
by Rudolf Scitovski & Kristian Sabo - 99-119 Efficient regularized spectral data embedding
by Lazhar Labiod & Mohamed Nadif - 121-158 A cost-sensitive constrained Lasso
by Rafael Blanquero & Emilio Carrizosa & Pepa Ramírez-Cobo & M. Remedios Sillero-Denamiel - 159-191 A novel semi-supervised support vector machine with asymmetric squared loss
by Huimin Pei & Qiang Lin & Liran Yang & Ping Zhong - 193-208 Kappa coefficients for dichotomous-nominal classifications
by Matthijs J. Warrens - 209-229 Clustering discrete-valued time series
by Tyler Roick & Dimitris Karlis & Paul D. McNicholas - 231-260 Simultaneous dimension reduction and clustering via the NMF-EM algorithm
by Léna Carel & Pierre Alquier
December 2020, Volume 14, Issue 4
- 747-757 Data generation for composite-based structural equation modeling methods
by Rainer Schlittgen & Marko Sarstedt & Christian M. Ringle - 759-770 Mixtures of Dirichlet-Multinomial distributions for supervised and unsupervised classification of short text data
by Laura Anderlucci & Cinzia Viroli - 771-784 On the use of quantile regression to deal with heterogeneity: the case of multi-block data
by Cristina Davino & Rosaria Romano & Domenico Vistocco - 785-799 Editable machine learning models? A rule-based framework for user studies of explainability
by Stanislav Vojíř & Tomáš Kliegr - 801-819 A comparison of instance-level counterfactual explanation algorithms for behavioral and textual data: SEDC, LIME-C and SHAP-C
by Yanou Ramon & David Martens & Foster Provost & Theodoros Evgeniou - 821-835 A process framework for inducing and explaining Datalog theories
by Mark Gromowski & Michael Siebers & Ute Schmid - 837-853 The ultrametric correlation matrix for modelling hierarchical latent concepts
by Carlo Cavicchia & Maurizio Vichi & Giorgia Zaccaria - 855-869 SEM-Tree hybrid models in the preferences analysis of the members of Polish households
by Adam Sagan & Mariusz Łapczyński - 871-884 Chained correlations for feature selection
by Ludwig Lausser & Robin Szekely & Hans A. Kestler - 885-896 Adapted single-cell consensus clustering (adaSC3)
by Cornelia Fuetterer & Thomas Augustin & Christiane Fuchs - 897-925 Automatic gait classification patterns in spastic hemiplegia
by Ana Aguilera & Alberto Subero - 927-945 Predicting brand confusion in imagery markets based on deep learning of visual advertisement content
by Atsuho Nakayama & Daniel Baier - 947-982 The GNG neural network in analyzing consumer behaviour patterns: empirical research on a purchasing behaviour processes realized by the elderly consumers
by Kamila Migdał-Najman & Krzysztof Najman & Sylwia Badowska
September 2020, Volume 14, Issue 3
- 513-515 Editorial for ADAC issue 3 of volume 14 (2020)
by Maurizio Vichi & Andrea Cerioli & Hans Kestler & Akinori Okada & Claus Weihs - 517-542 Modelling heterogeneity: on the problem of group comparisons with logistic regression and the potential of the heterogeneous choice model
by Gerhard Tutz - 543-570 Is-ClusterMPP: clustering algorithm through point processes and influence space towards high-dimensional data
by Khadidja Henni & Pierre-Yves Louis & Brigitte Vannier & Ahmed Moussa - 571-588 Sparse classification with paired covariates
by Armin Rauschenberger & Iuliana Ciocănea-Teodorescu & Marianne A. Jonker & Renée X. Menezes & Mark A. Wiel - 589-609 Connecting the multivariate partial least squares with canonical analysis: a path-following approach
by Lukáš Malec & Vladimír Janovský - 611-628 A stable cardinality distance for topological classification
by Vasileios Maroulas & Cassie Putman Micucci & Adam Spannaus - 629-649 Familywise decompositions of Pearson’s chi-square statistic in the analysis of contingency tables
by Rosaria Lombardo & Yoshio Takane & Eric J. Beh - 651-676 Rank tests for functional data based on the epigraph, the hypograph and associated graphical representations
by Alba M. Franco Pereira & Rosa E. Lillo - 677-745 Enhancing techniques for learning decision trees from imbalanced data
by Ikram Chaabane & Radhouane Guermazi & Mohamed Hammami
June 2020, Volume 14, Issue 2
- 231-234 Special issue on “Innovations on model based clustering and classification”
by Christophe Biernacki & Luis Angel García-Escudero & Salvatore Ingrassia - 235-260 Seemingly unrelated clusterwise linear regression
by Giuliano Galimberti & Gabriele Soffritti - 261-292 Semiparametric mixtures of regressions with single-index for model based clustering
by Sijia Xiang & Weixin Yao - 293-325 Gaussian parsimonious clustering models with covariates and a noise component
by Keefe Murphy & Thomas Brendan Murphy - 327-354 A robust approach to model-based classification based on trimming and constraints
by Andrea Cappozzo & Francesca Greselin & Thomas Brendan Murphy - 355-378 Mixture modeling of data with multiple partial right-censoring levels
by Semhar Michael & Tatjana Miljkovic & Volodymyr Melnykov - 379-413 Gaussian mixture modeling and model-based clustering under measurement inconsistency
by Shuchismita Sarkar & Volodymyr Melnykov & Rong Zheng - 415-434 Mixtures of skewed matrix variate bilinear factor analyzers
by Michael P. B. Gallaugher & Paul D. McNicholas - 435-461 Data projections by skewness maximization under scale mixtures of skew-normal vectors
by Jorge M. Arevalillo & Hilario Navarro - 463-484 ParticleMDI: particle Monte Carlo methods for the cluster analysis of multiple datasets with applications to cancer subtype identification
by Nathan Cunningham & Jim E. Griffin & David L. Wild - 485-512 A stochastic block model for interaction lengths
by Riccardo Rastelli & Michael Fop
March 2020, Volume 14, Issue 1
- 5-27 Count regression trees
by Nan-Ting Liu & Feng-Chang Lin & Yu-Shan Shih - 29-56 Learning a metric when clustering data points in the presence of constraints
by Ahmad Ali Abin & Mohammad Ali Bashiri & Hamid Beigy - 57-76 Clustering genomic words in human DNA using peaks and trends of distributions
by Ana Helena Tavares & Jakob Raymaekers & Peter J. Rousseeuw & Paula Brito & Vera Afreixo - 77-96 Data clustering based on principal curves
by Elson Claudio Correa Moraes & Danton Diego Ferreira & Giovani Bernardes Vitor & Bruno Henrique Groenner Barbosa - 97-116 Ensemble of optimal trees, random forest and random projection ensemble classification
by Zardad Khan & Asma Gul & Aris Perperoglou & Miftahuddin Miftahuddin & Osama Mahmoud & Werner Adler & Berthold Lausen - 117-146 A fragmented-periodogram approach for clustering big data time series
by Jorge Caiado & Nuno Crato & Pilar Poncela - 147-173 How well do SEM algorithms imitate EM algorithms? A non-asymptotic analysis for mixture models
by Johannes Blömer & Sascha Brauer & Kathrin Bujna & Daniel Kuntze - 175-199 Optimal arrangements of hyperplanes for SVM-based multiclass classification
by Víctor Blanco & Alberto Japón & Justo Puerto - 201-230 Classification using sequential order statistics
by Alexander Katzur & Udo Kamps
December 2019, Volume 13, Issue 4
- 825-853 Orthogonal nonnegative matrix tri-factorization based on Tweedie distributions
by Hiroyasu Abe & Hiroshi Yadohisa - 855-876 Discriminant analysis for discrete variables derived from a tree-structured graphical model
by Gonzalo Perez-de-la-Cruz & Guillermina Eslava-Gomez - 877-904 Supervised learning via smoothed Polya trees
by William Cipolli & Timothy Hanson - 905-932 Robust and sparse k-means clustering for high-dimensional data
by Šárka Brodinová & Peter Filzmoser & Thomas Ortner & Christian Breiteneder & Maia Rohm - 933-963 Exploration of the variability of variable selection based on distances between bootstrap sample results
by Christian Hennig & Willi Sauerbrei - 965-990 A classification tree approach for the modeling of competing risks in discrete time
by Moritz Berger & Thomas Welchowski & Steffen Schmitz-Valckenberg & Matthias Schmid - 991-1018 Convex clustering for binary data
by Hosik Choi & Seokho Lee - 1019-1051 Bayesian shrinkage in mixture-of-experts models: identifying robust determinants of class membership
by Gregor Zens - 1053-1082 Finite mixture-of-gamma distributions: estimation, inference, and model-based clustering
by Derek S. Young & Xi Chen & Dilrukshi C. Hewage & Ricardo Nilo-Poyanco - 1083-1103 A Kendall correlation coefficient between functional data
by Dalia Valencia & Rosa E. Lillo & Juan Romo
September 2019, Volume 13, Issue 3
- 591-620 Directional co-clustering
by Aghiles Salah & Mohamed Nadif - 621-639 Investigating consumers’ store-choice behavior via hierarchical variable selection
by Toshiki Sato & Yuichi Takano & Takanobu Nakahara - 641-661 Subspace clustering for the finite mixture of generalized hyperbolic distributions
by Nam-Hwui Kim & Ryan Browne - 663-682 On support vector machines under a multiple-cost scenario
by Sandra Benítez-Peña & Rafael Blanquero & Emilio Carrizosa & Pepa Ramírez-Cobo - 683-702 Regression trees for detecting preference patterns from rank data
by Yu-Shan Shih & Kuang-Hsun Liu - 703-725 Generalised linear model trees with global additive effects
by Heidi Seibold & Torsten Hothorn & Achim Zeileis - 727-751 Greedy Gaussian segmentation of multivariate time series
by David Hallac & Peter Nystrup & Stephen Boyd - 753-771 A two-stage sparse logistic regression for optimal gene selection in high-dimensional microarray data classification
by Zakariya Yahya Algamal & Muhammad Hisyam Lee - 773-795 Variable selection in discriminant analysis for mixed continuous-binary variables and several groups
by Alban Mbina Mbina & Guy Martial Nkiet & Fulgence Eyi Obiang - 797-818 Bayesian nonstationary Gaussian process models via treed process convolutions
by Waley W. J. Liang & Herbert K. H. Lee
June 2019, Volume 13, Issue 2
- 347-377 Linear components of quadratic classifiers
by José R. Berrendero & Javier Cárcamo - 379-404 Mixture model modal clustering
by José E. Chacón - 405-426 A method for selecting the relevant dimensions for high-dimensional classification in singular vector spaces
by Dawit G. Tadesse & Mark Carpenter - 427-444 Weighted distance-based trees for ranking data
by Antonella Plaia & Mariangela Sciandra - 445-480 Mixtures of restricted skew-t factor analyzers with common factor loadings
by Wan-Lun Wang & Luis M. Castro & Yen-Ting Chang & Tsung-I Lin - 481-493 Properties of Bangdiwala’s B
by Matthijs J. Warrens & Alexandra Raadt - 495-518 Comparisons among several methods for handling missing data in principal component analysis (PCA)
by Sébastien Loisel & Yoshio Takane - 519-529 A bivariate index vector for measuring departure from double symmetry in square contingency tables
by Shuji Ando & Kouji Tahata & Sadao Tomizawa - 531-557 New distance measures for classifying X-ray astronomy data into stellar classes
by Amparo Baíllo & Javier Cárcamo & Konstantin Getman - 559-583 Model-based approach for household clustering with mixed scale variables
by Christian Carmona & Luis Nieto-Barajas & Antonio Canale
March 2019, Volume 13, Issue 1
- 1-5 Special issue on “Advances on model-based clustering and classification”
by Sylvia Frühwirth-Schnatter & Salvatore Ingrassia & Agustín Mayo-Iscar - 7-31 Unifying data units and models in (co-)clustering
by Christophe Biernacki & Alexandre Lourme - 33-64 From here to infinity: sparse finite versus Dirichlet process mixtures in model-based clustering
by Sylvia Frühwirth-Schnatter & Gertraud Malsiner-Walli - 65-87 Clustering via finite nonparametric ICA mixture models
by Xiaotian Zhu & David R. Hunter - 89-116 Finite mixture of regression models for censored data based on scale mixtures of normal distributions
by Camila Borelli Zeller & Celso Rômulo Barbosa Cabral & Víctor Hugo Lachos & Luis Benites - 117-143 Finite mixture biclustering of discrete type multivariate data
by Daniel Fernández & Richard Arnold & Shirley Pledger & Ivy Liu & Roy Costilla - 145-173 Finite mixtures, projection pursuit and tensor rank: a triangulation
by Nicola Loperfido - 175-199 Clustering space-time series: FSTAR as a flexible STAR approach
by Edoardo Otranto & Massimo Mucciardi - 201-225 Robust clustering for functional data based on trimming and constraints
by Diego Rivera-García & Luis A. García-Escudero & Agustín Mayo-Iscar & Joaquín Ortega - 227-257 Assessing trimming methodologies for clustering linear regression data
by Francesca Torti & Domenico Perrotta & Marco Riani & Andrea Cerioli - 259-278 Variable selection in model-based clustering and discriminant analysis with a regularization approach
by Gilles Celeux & Cathy Maugis-Rabusseau & Mohammed Sedki - 279-301 Random effects clustering in multilevel modeling: choosing a proper partition
by Claudio Conversano & Massimo Cannas & Francesco Mola & Emiliano Sironi - 303-323 sARI: a soft agreement measure for class partitions incorporating assignment probabilities
by Abby Flynt & Nema Dean & Rebecca Nugent - 325-341 Studying crime trends in the USA over the years 2000–2012
by Volodymyr Melnykov & Xuwen Zhu
December 2018, Volume 12, Issue 4
- 823-825 Special issue on “Science of big data: theory, methods and applications”
by Hans A. Kestler & Paul D. McNicholas & Adalbert F. X. Wilhelm - 827-840 Ensemble of a subset of kNN classifiers
by Asma Gul & Aris Perperoglou & Zardad Khan & Osama Mahmoud & Miftahuddin Miftahuddin & Werner Adler & Berthold Lausen - 841-865 Understanding non-linear modeling of measurement invariance in heterogeneous populations
by Deana Desa - 867-883 A comparative study on large scale kernelized support vector machines
by Daniel Horn & Aydın Demircioğlu & Bernd Bischl & Tobias Glasmachers & Claus Weihs - 885-915 A computationally fast variable importance test for random forests for high-dimensional data
by Silke Janitza & Ender Celik & Anne-Laure Boulesteix - 917-936 Rank-based classifiers for extremely high-dimensional gene expression data
by Ludwig Lausser & Florian Schmid & Lyn-Rouven Schirra & Adalbert F. X. Wilhelm & Hans A. Kestler - 937-952 Ensemble feature selection for high dimensional data: a new method and a comparative study
by Afef Ben Brahim & Mohamed Limam - 953-972 An efficient random forests algorithm for high dimensional data classification
by Qiang Wang & Thanh-Tung Nguyen & Joshua Z. Huang & Thuy Thi Nguyen - 973-995 Equi-Clustream: a framework for clustering time evolving mixed data
by Ravi Sankar Sangam & Hari Om
September 2018, Volume 12, Issue 3
- 455-488 Mutual information, phi-squared and model-based co-clustering for contingency tables
by Gérard Govaert & Mohamed Nadif - 489-508 Model selection for Gaussian latent block clustering with the integrated classification likelihood
by Aurore Lomet & Gérard Govaert & Yves Grandvalet - 509-536 Discovering patterns in time-varying graphs: a triclustering approach
by Romain Guigourès & Marc Boullé & Fabrice Rossi - 537-558 Cluster-based sparse topical coding for topic mining and document clustering
by Parvin Ahmadi & Iman Gholampour & Mahmoud Tabandeh - 559-585 Sparsest factor analysis for clustering variables: a matrix decomposition approach
by Kohei Adachi & Nickolay T. Trendafilov - 587-603 Minimum distance method for directional data and outlier detection
by Mercedes Fernandez Sau & Daniela Rodriguez - 605-636 Statistical inference in constrained latent class models for multinomial data based on $$\phi $$ ϕ -divergence measures
by A. Felipe & N. Martín & P. Miranda & L. Pardo - 637-656 A divisive clustering method for functional data with special consideration of outliers
by Ana Justel & Marcela Svarc - 657-682 Signal classification with a point process distance on the space of persistence diagrams
by Andrew Marchese & Vasileios Maroulas - 683-704 Rethinking an ROC partial area index for evaluating the classification performance at a high specificity range
by Juana-María Vivo & Manuel Franco & Donatella Vicari - 705-735 Archetypal shapes based on landmarks and extension to handle missing data
by Irene Epifanio & María Victoria Ibáñez & Amelia Simó - 737-758 Tree-structured modelling of categorical predictors in generalized additive regression
by Gerhard Tutz & Moritz Berger - 759-784 Non-symmetrical composite-based path modeling
by Pasquale Dolce & Vincenzo Esposito Vinzi & Natale Carlo Lauro - 785-822 Outlier detection in interval data
by A. Pedro Duarte Silva & Peter Filzmoser & Paula Brito
June 2018, Volume 12, Issue 2
- 179-202 Probabilistic clustering via Pareto solutions and significance tests
by María Teresa Gallegos & Gunter Ritter - 203-233 Eigenvalues and constraints in mixture modeling: geometric and computational issues
by Luis Angel García-Escudero & Alfonso Gordaliza & Francesca Greselin & Salvatore Ingrassia & Agustín Mayo-Iscar - 235-260 A data driven equivariant approach to constrained Gaussian mixture modeling
by Roberto Rocci & Stefano Antonio Gattone & Roberto Di Mari - 261-284 Clustering of imbalanced high-dimensional media data
by Šárka Brodinová & Maia Zaharieva & Peter Filzmoser & Thomas Ortner & Christian Breiteneder - 285-313 Clusterwise analysis for multiblock component methods
by Stéphanie Bougeard & Hervé Abdi & Gilbert Saporta & Ndèye Niang - 315-339 Asymptotic comparison of semi-supervised and supervised linear discriminant functions for heteroscedastic normal populations
by Kenichi Hayashi - 341-363 Local generalized quadratic distance metrics: application to the k-nearest neighbors classifier
by Karim Abou-Moustafa & Frank P. Ferrie - 365-397 Unsupervised classification of children’s bodies using currents
by Sonia Barahona & Ximo Gual-Arnau & Maria Victoria Ibáñez & Amelia Simó - 399-423 A semiparametric Bayesian joint model for multiple mixed-type outcomes: an application to acute myocardial infarction
by Alessandra Guglielmi & Francesca Ieva & Anna Maria Paganoni & Fernardo A. Quintana - 425-447 D-trace estimation of a precision matrix using adaptive Lasso penalties
by Vahe Avagyan & Andrés M. Alonso & Francisco J. Nogales
March 2018, Volume 12, Issue 1
- 1-4 Editorial for Special Issue on Analysis of Asymmetric Relationships
by Giuseppe Bove & Akinori Okada - 5-31 Methods for the analysis of asymmetric pairwise relationships
by Giuseppe Bove & Akinori Okada - 33-41 Skew symmetry in retrospect
by John C. Gower - 43-64 CLUSKEXT: CLUstering model for SKew-symmetric data including EXTernal information
by Donatella Vicari - 65-105 Hierarchical clustering of asymmetric networks
by Gunnar Carlsson & Facundo Mémoli & Alejandro Ribeiro & Santiago Segarra - 107-130 Transitional modeling of experimental longitudinal data with missing values
by Mark Rooij - 131-153 Assessing the asymmetric effects on branch rivalry of Spanish financial sector restructuring
by Marti Sagarra & Frank M. T. A. Busing & Cecilio Mar-Molinero & Josep Rialp - 155-171 Relating brand confusion to ad similarities and brand strengths through image data analysis and classification
by Daniel Baier & Sarah Frost
December 2017, Volume 11, Issue 4
- 645-657 Fuzzy data analysis and classification
by Pierpaolo D’Urso & María Ángeles Gil - 659-690 Parametric classification with soft labels using the evidential EM algorithm: linear discriminant analysis versus logistic regression
by Benjamin Quost & Thierry Denœux & Shoumei Li - 691-710 A fuzzy approach to robust regression clustering
by Francesco Dotto & Alessio Farcomeni & Luis Angel García-Escudero & Agustín Mayo-Iscar - 711-730 Fuzzy rule based classification systems for big data with MapReduce: granularity analysis
by Alberto Fernández & Sara Río & Abdullah Bawakid & Francisco Herrera - 731-758 Robust scale estimators for fuzzy data
by Sara de la Rosa de Sáa & María Asunción Lubiano & Beatriz Sinova & Peter Filzmoser - 759-783 A novel method for forecasting time series based on fuzzy logic and visibility graph
by Rong Zhang & Baabak Ashuri & Yong Deng - 785-808 On ill-conceived initialization in archetypal analysis
by Abdul Suleman
September 2017, Volume 11, Issue 3
- 445-466 Multivariate and functional classification using depth and distance
by Mia Hubert & Peter Rousseeuw & Pieter Segaert - 467-492 Benchmarking different clustering algorithms on functional data
by Christina Yassouridis & Friedrich Leisch - 493-518 Constrained clustering with a complex cluster structure
by Marek Śmieja & Magdalena Wiercioch - 519-546 A fuzzy neural network based framework to discover user access patterns from web log data
by Zahid A. Ansari & Syed Abdul Sattar & A. Vinaya Babu