| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
A bias-variance analysis of state-of-the-art random forest text classifiers
|
Salles, Thiago
|
|
|
|
2 |
p. 379-405
|
article
|
| 2 |
A bivariate index vector for measuring departure from double symmetry in square contingency tables
|
Ando, Shuji
|
|
2018
|
|
2 |
p. 519-529
|
article
|
| 3 |
A clustering ensemble framework based on elite selection of weighted clusters
|
Parvin, Hamid
|
|
2013
|
|
2 |
p. 181-208
|
article
|
| 4 |
A comparison of some criteria for states selection in the latent Markov model for longitudinal data
|
Bacci, S.
|
|
2013
|
|
2 |
p. 125-145
|
article
|
| 5 |
Active learning of constraints for weighted feature selection
|
Hijazi, Samah
|
|
|
|
2 |
p. 337-377
|
article
|
| 6 |
Adaptation of interval PCA to symbolic histogram variables
|
Makosso-Kallyth, Sun
|
|
2012
|
|
2 |
p. 147-159
|
article
|
| 7 |
A data driven equivariant approach to constrained Gaussian mixture modeling
|
Rocci, Roberto
|
|
2017
|
|
2 |
p. 235-260
|
article
|
| 8 |
ADCLUS and INDCLUS: analysis, experimentation, and meta-heuristic algorithm extensions
|
France, Stephen L.
|
|
2016
|
|
2 |
p. 371-393
|
article
|
| 9 |
A method for selecting the relevant dimensions for high-dimensional classification in singular vector spaces
|
Tadesse, Dawit G.
|
|
2018
|
|
2 |
p. 405-426
|
article
|
| 10 |
A new three-step method for using inverse propensity weighting with latent class analysis
|
Clouth, F. J.
|
|
|
|
2 |
p. 351-371
|
article
|
| 11 |
An isotonic trivariate statistical regression method
|
Fiori, Simone
|
|
2013
|
|
2 |
p. 209-235
|
article
|
| 12 |
A perceptually optimised bivariate visualisation scheme for high-dimensional fold-change data
|
Müller, André
|
|
|
|
2 |
p. 463-480
|
article
|
| 13 |
Are attitudes toward immigration changing in Europe? An analysis based on latent class IRT models
|
Genge, Ewa
|
|
|
|
2 |
p. 235-271
|
article
|
| 14 |
A robust approach to model-based classification based on trimming and constraints
|
Cappozzo, Andrea
|
|
|
|
2 |
p. 327-354
|
article
|
| 15 |
A semiparametric Bayesian joint model for multiple mixed-type outcomes: an application to acute myocardial infarction
|
Guglielmi, Alessandra
|
|
2016
|
|
2 |
p. 399-423
|
article
|
| 16 |
A sequential distance-based approach for imputing missing data: Forward Imputation
|
Solaro, Nadia
|
|
2016
|
|
2 |
p. 395-414
|
article
|
| 17 |
Assessing and accounting for time heterogeneity in stochastic actor oriented models
|
Lospinoso, Joshua A.
|
|
2010
|
|
2 |
p. 147-176
|
article
|
| 18 |
A stochastic block model for interaction lengths
|
Rastelli, Riccardo
|
|
|
|
2 |
p. 485-512
|
article
|
| 19 |
Asymptotic comparison of semi-supervised and supervised linear discriminant functions for heteroscedastic normal populations
|
Hayashi, Kenichi
|
|
2016
|
|
2 |
p. 315-339
|
article
|
| 20 |
A two-step estimator for generalized linear models for longitudinal data with time-varying measurement error
|
Di Mari, Roberto
|
|
|
|
2 |
p. 273-300
|
article
|
| 21 |
A von Mises–Fisher mixture model for clustering numerical and categorical variables
|
Bry, Xavier
|
|
|
|
2 |
p. 429-455
|
article
|
| 22 |
Backtransformation: a new representation of data processing chains with a scalar decision function
|
Krell, Mario Michael
|
|
2015
|
|
2 |
p. 415-439
|
article
|
| 23 |
Band depth based initialization of K-means for functional data clustering
|
Albert-Smet, Javier
|
|
|
|
2 |
p. 463-484
|
article
|
| 24 |
Basic statistics for distributional symbolic variables: a new metric-based approach
|
Irpino, Antonio
|
|
2014
|
|
2 |
p. 143-175
|
article
|
| 25 |
Basis expansion approaches for functional analysis of variance with repeated measures
|
Acal, Christian
|
|
|
|
2 |
p. 291-321
|
article
|
| 26 |
Beyond the number of classes: separating substantive from non-substantive dependence in latent class analysis
|
Oberski, D. L.
|
|
2015
|
|
2 |
p. 171-182
|
article
|
| 27 |
Classification based on multivariate mixed type longitudinal data with an application to the EU-SILC database
|
Vávra, Jan
|
|
|
|
2 |
p. 369-406
|
article
|
| 28 |
Cluster analysis of census data using the symbolic data approach
|
Giusti, Antonio
|
|
2008
|
|
2 |
p. 163-176
|
article
|
| 29 |
Clustering of imbalanced high-dimensional media data
|
Brodinová, Šárka
|
|
2017
|
|
2 |
p. 261-284
|
article
|
| 30 |
Clustering of modal-valued symbolic data
|
Kejžar, Nataša
|
|
|
|
2 |
p. 513-541
|
article
|
| 31 |
Clusterwise analysis for multiblock component methods
|
Bougeard, Stéphanie
|
|
2017
|
|
2 |
p. 285-313
|
article
|
| 32 |
Comparisons among several methods for handling missing data in principal component analysis (PCA)
|
Loisel, Sébastien
|
|
2018
|
|
2 |
p. 495-518
|
article
|
| 33 |
Convex ordering criteria for Lévy processes
|
Bergenthum, Jan
|
|
2007
|
|
2 |
p. 143-173
|
article
|
| 34 |
Correspondence analysis of textual data involving contextual information: CA-GALT on principal components
|
Bécue-Bertaut, Mónica
|
|
2014
|
|
2 |
p. 125-142
|
article
|
| 35 |
Data projections by skewness maximization under scale mixtures of skew-normal vectors
|
Arevalillo, Jorge M.
|
|
|
|
2 |
p. 435-461
|
article
|
| 36 |
Dissimilarity and similarity measures for comparing dendrograms and their applications
|
Morlini, Isabella
|
|
2012
|
|
2 |
p. 85-105
|
article
|
| 37 |
D-trace estimation of a precision matrix using adaptive Lasso penalties
|
Avagyan, Vahe
|
|
2016
|
|
2 |
p. 425-447
|
article
|
| 38 |
Dynamic segmentation with growth mixture models
|
Bassi, Francesca
|
|
2016
|
|
2 |
p. 263-279
|
article
|
| 39 |
Editorial
|
Bock, Hans-Hermann
|
|
2007
|
|
2 |
p. 83-84
|
article
|
| 40 |
Editorial
|
Bock, Hans-Hermann
|
|
2012
|
|
2 |
p. 81-83
|
article
|
| 41 |
Editorial
|
Bock, Hans-Hermann
|
|
2008
|
|
2 |
p. 107-108
|
article
|
| 42 |
Editorial for ADAC issue 2 of volume 15 (2021)
|
Vichi, Maurizio
|
|
|
|
2 |
p. 261-265
|
article
|
| 43 |
Editorial for ADAC issue 2 of volume 17 (2023)
|
Vichi, Maurizio
|
|
|
|
2 |
p. 287-290
|
article
|
| 44 |
Editorial for issue 2/2017
|
|
|
2017
|
|
2 |
p. 219-222
|
article
|
| 45 |
Editorial for issue 2/2018
|
|
|
2018
|
|
2 |
p. 173-177
|
article
|
| 46 |
Editorial for issue 2/2015
|
|
|
2015
|
|
2 |
p. 121-123
|
article
|
| 47 |
Editorial for issue 2/2013
|
|
|
2013
|
|
2 |
p. 121-123
|
article
|
| 48 |
Editorial for issue 2/2014
|
|
|
2014
|
|
2 |
p. 121-123
|
article
|
| 49 |
Editorial for issue 2/2019
|
|
|
2019
|
|
2 |
p. 343-346
|
article
|
| 50 |
Eigenvalues and constraints in mixture modeling: geometric and computational issues
|
García-Escudero, Luis Angel
|
|
2017
|
|
2 |
p. 203-233
|
article
|
| 51 |
Enhancing the selection of a model-based clustering with external categorical variables
|
Baudry, Jean-Patrick
|
|
2014
|
|
2 |
p. 177-196
|
article
|
| 52 |
Estimating common principal components in high dimensions
|
Browne, Ryan P.
|
|
2013
|
|
2 |
p. 217-226
|
article
|
| 53 |
Exploratory data analysis for interval compositional data
|
Hron, Karel
|
|
2016
|
|
2 |
p. 223-241
|
article
|
| 54 |
Factor and hybrid components for model-based clustering
|
Hou-Liu, Jason
|
|
|
|
2 |
p. 373-398
|
article
|
| 55 |
Fast algorithms for determining (generalized) core groups in social networks
|
Batagelj, Vladimir
|
|
2010
|
|
2 |
p. 129-145
|
article
|
| 56 |
Fast calibrations of the forward search for testing multiple outliers in regression
|
Riani, Marco
|
|
2007
|
|
2 |
p. 123-141
|
article
|
| 57 |
Fitting semiparametric clustering models to dissimilarity data
|
Vichi, Maurizio
|
|
2008
|
|
2 |
p. 121-161
|
article
|
| 58 |
Fuzzy clustering based on nonconvex optimisation approaches using difference of convex (DC) functions algorithms
|
Thi, Hoai An Le
|
|
2007
|
|
2 |
p. 85-104
|
article
|
| 59 |
Fuzzy spectral clustering by PCCA+: application to Markov state models and data classification
|
Röblitz, Susanna
|
|
2013
|
|
2 |
p. 147-179
|
article
|
| 60 |
Gaussian mixture modeling and model-based clustering under measurement inconsistency
|
Sarkar, Shuchismita
|
|
|
|
2 |
p. 379-413
|
article
|
| 61 |
Gaussian mixture model with an extended ultrametric covariance structure
|
Cavicchia, Carlo
|
|
|
|
2 |
p. 399-427
|
article
|
| 62 |
Gaussian parsimonious clustering models with covariates and a noise component
|
Murphy, Keefe
|
|
|
|
2 |
p. 293-325
|
article
|
| 63 |
Graphical tools for model-based mixture discriminant analysis
|
Scrucca, Luca
|
|
2013
|
|
2 |
p. 147-165
|
article
|
| 64 |
Hierarchical conceptual clustering based on quantile method for identifying microscopic details in distributional data
|
Umbleja, Kadri
|
|
|
|
2 |
p. 407-436
|
article
|
| 65 |
How many data clusters are in the Galaxy data set?
|
Grün, Bettina
|
|
|
|
2 |
p. 325-349
|
article
|
| 66 |
Interpretable clustering using unsupervised binary trees
|
Fraiman, Ricardo
|
|
2013
|
|
2 |
p. 125-145
|
article
|
| 67 |
Isotonic boosting classification rules
|
Conde, David
|
|
|
|
2 |
p. 289-313
|
article
|
| 68 |
Item selection by latent class-based methods: an application to nursing home evaluation
|
Bartolucci, Francesco
|
|
2016
|
|
2 |
p. 245-262
|
article
|
| 69 |
Latent class model with conditional dependency per modes to cluster categorical data
|
Marbac, Matthieu
|
|
2016
|
|
2 |
p. 183-207
|
article
|
| 70 |
Linear components of quadratic classifiers
|
Berrendero, José R.
|
|
2018
|
|
2 |
p. 347-377
|
article
|
| 71 |
Local generalized quadratic distance metrics: application to the k-nearest neighbors classifier
|
Abou-Moustafa, Karim
|
|
2017
|
|
2 |
p. 341-363
|
article
|
| 72 |
Localization processes for functional data analysis
|
Elías, Antonio
|
|
|
|
2 |
p. 485-517
|
article
|
| 73 |
Logistic biplot for nominal data
|
Hernández-Sánchez, Julio César
|
|
2016
|
|
2 |
p. 307-326
|
article
|
| 74 |
M-estimators and trimmed means: from Hilbert-valued to fuzzy set-valued data
|
Sinova, Beatriz
|
|
|
|
2 |
p. 267-288
|
article
|
| 75 |
Micro–macro multilevel latent class models with multiple discrete individual-level variables
|
Bennink, Margot
|
|
2016
|
|
2 |
p. 139-154
|
article
|
| 76 |
Mixed-effect models with trees
|
Gottard, Anna
|
|
|
|
2 |
p. 431-461
|
article
|
| 77 |
Mixture model averaging for clustering
|
Wei, Yuhong
|
|
2014
|
|
2 |
p. 197-217
|
article
|
| 78 |
Mixture modeling of data with multiple partial right-censoring levels
|
Michael, Semhar
|
|
|
|
2 |
p. 355-378
|
article
|
| 79 |
Mixture model modal clustering
|
Chacón, José E.
|
|
2018
|
|
2 |
p. 379-404
|
article
|
| 80 |
Mixture models for ordinal responses to account for uncertainty of choice
|
Tutz, Gerhard
|
|
2016
|
|
2 |
p. 281-305
|
article
|
| 81 |
Mixtures of factor analyzers with scale mixtures of fundamental skew normal distributions
|
Lee, Sharon X.
|
|
|
|
2 |
p. 481-512
|
article
|
| 82 |
Mixtures of restricted skew-t factor analyzers with common factor loadings
|
Wang, Wan-Lun
|
|
2018
|
|
2 |
p. 445-480
|
article
|
| 83 |
Mixtures of skewed matrix variate bilinear factor analyzers
|
Gallaugher, Michael P. B.
|
|
|
|
2 |
p. 415-434
|
article
|
| 84 |
Modal clustering of matrix-variate data
|
Ferraccioli, Federico
|
|
|
|
2 |
p. 323-345
|
article
|
| 85 |
Model-based approach for household clustering with mixed scale variables
|
Carmona, Christian
|
|
2018
|
|
2 |
p. 559-583
|
article
|
| 86 |
Model based clustering for mixed data: clustMD
|
McParland, Damien
|
|
2016
|
|
2 |
p. 155-169
|
article
|
| 87 |
Model-based regression clustering for high-dimensional data: application to functional data
|
Devijver, Emilie
|
|
2016
|
|
2 |
p. 243-279
|
article
|
| 88 |
Model-based two-way clustering of second-level units in ordinal multilevel latent Markov models
|
Montanari, Giorgio Eduardo
|
|
|
|
2 |
p. 457-485
|
article
|
| 89 |
Multiple taxicab correspondence analysis
|
Choulakian, V.
|
|
2008
|
|
2 |
p. 177-206
|
article
|
| 90 |
Network ensemble clustering using latent roles
|
Brandes, Ulrik
|
|
2010
|
|
2 |
p. 81-94
|
article
|
| 91 |
New distance measures for classifying X-ray astronomy data into stellar classes
|
Baíllo, Amparo
|
|
2018
|
|
2 |
p. 531-557
|
article
|
| 92 |
Nonparametric regression and classification with functional, categorical, and mixed covariates
|
Selk, Leonie
|
|
|
|
2 |
p. 519-543
|
article
|
| 93 |
On mathematical optimization for clustering categories in contingency tables
|
Carrizosa, Emilio
|
|
|
|
2 |
p. 407-429
|
article
|
| 94 |
On multi-way metricity, minimality and diagonal planes
|
Warrens, Matthijs J.
|
|
2008
|
|
2 |
p. 109-119
|
article
|
| 95 |
On the use of external information in social network analysis
|
Giordano, Giuseppe
|
|
2010
|
|
2 |
p. 95-112
|
article
|
| 96 |
Orthogonal rotation in PCAMIX
|
Chavent, Marie
|
|
2012
|
|
2 |
p. 131-146
|
article
|
| 97 |
ParticleMDI: particle Monte Carlo methods for the cluster analysis of multiple datasets with applications to cancer subtype identification
|
Cunningham, Nathan
|
|
|
|
2 |
p. 463-484
|
article
|
| 98 |
Power analysis for the bootstrap likelihood ratio test for the number of classes in latent class models
|
Tekle, Fetene B.
|
|
2016
|
|
2 |
p. 209-224
|
article
|
| 99 |
Principal component analysis constrained by layered simple structures
|
Yamashita, Naoto
|
|
|
|
2 |
p. 347-367
|
article
|
| 100 |
Principal component analysis for histogram-valued data
|
Le-Rademacher, J.
|
|
2016
|
|
2 |
p. 327-351
|
article
|
| 101 |
Probabilistic clustering via Pareto solutions and significance tests
|
Gallegos, María Teresa
|
|
2016
|
|
2 |
p. 179-202
|
article
|
| 102 |
Properties of Bangdiwala’s B
|
Warrens, Matthijs J.
|
|
2018
|
|
2 |
p. 481-493
|
article
|
| 103 |
Regime dependent interconnectedness among fuzzy clusters of financial time series
|
De Luca, Giovanni
|
|
|
|
2 |
p. 315-336
|
article
|
| 104 |
Robust archetypoids for anomaly detection in big functional data
|
Vinue, Guillermo
|
|
|
|
2 |
p. 437-462
|
article
|
| 105 |
Robust logistic zero-sum regression for microbiome compositional data
|
Monti, G. S.
|
|
|
|
2 |
p. 301-324
|
article
|
| 106 |
Seemingly unrelated clusterwise linear regression
|
Galimberti, Giuliano
|
|
|
|
2 |
p. 235-260
|
article
|
| 107 |
Semiparametric mixtures of regressions with single-index for model based clustering
|
Xiang, Sijia
|
|
|
|
2 |
p. 261-292
|
article
|
| 108 |
Special issue on Advances in latent variables: methods, models and applications
|
Montanari, Angela
|
|
2016
|
|
2 |
p. 133-137
|
article
|
| 109 |
Special issue on “Innovations on model based clustering and classification”
|
Biernacki, Christophe
|
|
|
|
2 |
p. 231-234
|
article
|
| 110 |
Special issue on “Models and learning for clustering and Classification”
|
Ingrassia, Salvatore
|
|
|
|
2 |
p. 231-234
|
article
|
| 111 |
Special issue on ‘Network Analysis’ Preface by the Guest Editors
|
Ferligoj, Anuška
|
|
2011
|
|
2 |
p. 77-79
|
article
|
| 112 |
Spline-based nonlinear biplots
|
Groenen, Patrick J. F.
|
|
2014
|
|
2 |
p. 219-238
|
article
|
| 113 |
T3C: improving a decision tree classification algorithm’s interval splits on continuous attributes
|
Tzirakis, Panagiotis
|
|
2016
|
|
2 |
p. 353-370
|
article
|
| 114 |
The influence function of the TCLUST robust clustering procedure
|
Ruwet, C.
|
|
2012
|
|
2 |
p. 107-130
|
article
|
| 115 |
Threshold optimization for classification in imbalanced data in a problem of gamma-ray astronomy
|
Voigt, Tobias
|
|
2014
|
|
2 |
p. 195-216
|
article
|
| 116 |
Unsupervised classification of children’s bodies using currents
|
Barahona, Sonia
|
|
2017
|
|
2 |
p. 365-397
|
article
|
| 117 |
Variable selection in discriminant analysis based on the location model for mixed variables
|
Mahat, Nor Idayu
|
|
2007
|
|
2 |
p. 105-122
|
article
|
| 118 |
Variational Bayes approximations for clustering via mixtures of normal inverse Gaussian distributions
|
Subedi, Sanjeena
|
|
2014
|
|
2 |
p. 167-193
|
article
|
| 119 |
Varying uncertainty in CUB models
|
Gottard, Anna
|
|
2016
|
|
2 |
p. 225-244
|
article
|
| 120 |
Web page importance ranking
|
Gaul, Wolfgang
|
|
2011
|
|
2 |
p. 113-128
|
article
|
| 121 |
Weighted distance-based trees for ranking data
|
Plaia, Antonella
|
|
2017
|
|
2 |
p. 427-444
|
article
|
Journal description