Advances in Data Analysis and Classification

Papers
(The median citation count of Advances in Data Analysis and Classification is 1. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-06-01 to 2026-06-01.)
ArticleCitations
Model-based clustering using a new multivariate skew distribution66
A link function specification test in the single functional index model25
An enhanced version of the SSA-HJ-biplot for time series with complex structure19
Robust regression for interval-valued data based on midpoints and log-ranges19
Multivariate count time series segmentation with “sums and shares” and Poisson lognormal mixture models: a comparative study using pedestrian flows within a multimodal transport hub15
On mathematical optimization for clustering categories in contingency tables14
Application of distance standard deviation in functional data analysis14
Applications of dual regularized Laplacian matrix for community detection13
QDA classification of high-dimensional data with rare and weak signals13
Regularized sparse optimal discriminant clustering11
Joint quantile regression for multinomial outcomes10
Nonparametric regression and classification with functional, categorical, and mixed covariates10
Special issue on “New methodologies in clustering and classification for complex and/or big data”10
Sequential classification of customer behavior based on sequence-to-sequence learning with gated-attention neural networks10
Multidimensional scaling for big data9
Robust mixture modeling using the truncated t distribution: recent advances and new results8
Statistical jump model for mixed-type data with missing data imputation8
Attraction-repulsion clustering: a way of promoting diversity linked to demographic parity in fair clustering7
Correction to: Statistical jump model for mixed-type data with missing data imputation7
Proximal methods for sparse optimal scoring and discriminant analysis7
Approaches to biological species delimitation based on genetic and spatial dissimilarity6
Natural language processing and financial markets: semi-supervised modelling of coronavirus and economic news6
An effective differentiable clustering approach for human activity recognition6
Clustering data with non-ignorable missingness using semi-parametric mixture models assuming independence within components5
Clustering large mixed-type data with ordinal variables5
Special issue on “Advances in clustering, classification and related methods”5
Contamination transformation matrix mixture modeling for skewed data groups with heavy tails and scatter5
A topological data analysis based classifier5
Entropy-based fuzzy clustering of interval-valued time series5
LASSO regularization within the LocalGLMnet architecture5
Determinantal consensus clustering4
Theory of angular depth for classification of directional data4
Profile-based latent class distance association analyses for sparse tables:application to the attitude of European citizens towards sustainable tourism4
Threshold-based Naïve Bayes classifier4
Special issue on “advances in models and learning for clustering and classification”4
A two-group canonical variate analysis biplot for an optimal display of both means and cases4
Model-based clustering using a new mixture of circular regressions4
Claims fraud detection with uncertain labels4
Editorial for ADAC issue 3 of volume 16 (2022)4
Unsupervised learning from attributed networks4
Editorial for ADAC issue 4 of volume 19 (2025)4
Clustering with missing data: which equivalent for Rubin’s rules?4
Composite likelihood methods for parsimonious model-based clustering of mixed-type data4
Robust functional logistic regression3
Clustering and classification of spatio-temporal data using spatial dynamic panel data models3
Finite mixture of hidden Markov models for tensor-variate time series data3
Flexible tree-structured regression for clustered data with an application to quality of life in older adults3
Comparing flexible modelling approaches: the varying-thresholds model versus quantile regression3
Benchmarking distance-based partitioning methods for mixed-type data3
Cellwise robust and sparse principal component analysis3
Characterisation and calibration of multiversal methods3
Initialization strategies for clustering mixed-type data with the k-prototypes algorithm3
Semiparametric mixture of linear regressions with nonparametric Gaussian scale mixture errors3
Reducing the dimensionality and granularity in hierarchical categorical variables3
Mixed-type kernel-based quantification of similarity for clustering3
Editorial for ADAC issue 3 of volume 17 (2023)2
Semiparametric finite mixture of regression models with Bayesian P-splines2
Structural equation modeling with factors and composites within the framework of the basic design2
Modeling time-dependent population proportions in a finite mixture model setting2
Model based clustering of multinomial count data2
Constrained clustering and multiple kernel learning without pairwise constraint relaxation2
Data-driven logistic regression ensembles with applications in genomics2
Clustering by deep latent position model with graph convolutional network2
A low-rank non-convex norm method for multiview graph clustering2
Robust Bayesian inference for the censored mixture of experts model using heavy-tailed distributions2
A dual subspace parsimonious mixture of matrix normal distributions2
A power-controlled reliability assessment for multi-class probabilistic classifiers2
A fresh look at mean-shift based modal clustering2
Scalable Bayesian p-generalized probit and logistic regression2
MLE for the parameters of bivariate interval-valued model2
View selection in multi-view stacking: choosing the meta-learner2
Directional density-based clustering2
Model-based clustering of functional data via random projection ensembles2
Kernel biclustering algorithm in Hilbert spaces2
Classification based on multivariate mixed type longitudinal data with an application to the EU-SILC database2
Random models for adjusting fuzzy rand index extensions2
A probabilistic method for reconstructing the Foreign Direct Investments network in search of ultimate host economies2
Mixture modeling with normalizing flows for spherical density estimation1
An analytic strategy for data processing of multimode networks1
Functional independent component analysis by choice of norm: a framework for near-perfect classification1
Comparison of internal evaluation criteria in hierarchical clustering of categorical data1
Model-based clustering of high-dimensional incomplete data via contaminated-normal mixtures1
Editorial for ADAC issue 1 of volume 19 (2025)1
Integrating granular data into a multilayer network: an interbank model of the euro area for systemic risk assessment1
Randomized smart subset selection for high-dimensional generalized linear models with false positive control1
Spatial quantile clustering of climate data1
A between-cluster approach for clustering skew-symmetric data1
Parsimony and parameter estimation for mixtures of multivariate leptokurtic-normal distributions1
Sparse constrained and unconstrained non-symmetric correspondence analysis1
Correction to: Principal component analysis constrained by layered simple structures1
Natural-neighborhood based, label-specific undersampling for imbalanced, multi-label data1
A new model for counterfactual analysis for functional data1
Loss-guided stability selection1
Unsupervised curve clustering using wavelets1
Identifying influential observations in concurrent functional regression with weighted bootstrap1
Identification of representative trees in random forests based on a new tree-based distance measure1
Liszt’s Étude S.136 no.1: audio data analysis of two different piano recordings1
Two-stage principal component analysis on interval-valued data using patterned covariance structures1
Parametric models for distributional data1
Localization processes for functional data analysis1
Correction: Characterisation and calibration of multiversal methods1
Variational inference for estimating dynamic stochastic block models through an evolutionary algorithm1
Correction to: Sparse correspondence analysis for large contingency tables1
Editorial for ADAC issue 1 of volume 17 (2023)1
Co-clustering contaminated data: a robust model-based approach1
Robust gradient boosting for generalized additive models for location, scale and shape1
A consensus-constrained parsimonious Gaussian mixture model for clustering hyperspectral images1
Robust and sparse logistic regression1
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