Advances in Data Analysis and Classification

Papers
(The TQCC of Advances in Data Analysis and Classification is 4. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
A link function specification test in the single functional index model57
Model-based clustering using a new multivariate skew distribution38
Robust regression for interval-valued data based on midpoints and log-ranges23
An enhanced version of the SSA-HJ-biplot for time series with complex structure18
Multivariate count time series segmentation with “sums and shares” and Poisson lognormal mixture models: a comparative study using pedestrian flows within a multimodal transport hub16
Application of distance standard deviation in functional data analysis15
QDA classification of high-dimensional data with rare and weak signals14
On mathematical optimization for clustering categories in contingency tables14
Applications of dual regularized Laplacian matrix for community detection13
Notes on the H-measure of classifier performance12
Kurtosis removal for data pre-processing11
Special issue on “New methodologies in clustering and classification for complex and/or big data”11
Statistical jump model for mixed-type data with missing data imputation10
Sequential classification of customer behavior based on sequence-to-sequence learning with gated-attention neural networks9
Nonparametric regression and classification with functional, categorical, and mixed covariates9
Model-based clustering and outlier detection with missing data9
Multidimensional scaling for big data9
Attraction-repulsion clustering: a way of promoting diversity linked to demographic parity in fair clustering8
On discriminating between lognormal and Pareto tail: an unsupervised mixture-based approach7
Proximal methods for sparse optimal scoring and discriminant analysis7
Natural language processing and financial markets: semi-supervised modelling of coronavirus and economic news7
Correction to: Statistical jump model for mixed-type data with missing data imputation7
Clustering data with non-ignorable missingness using semi-parametric mixture models assuming independence within components7
Entropy-based fuzzy clustering of interval-valued time series6
Editorial for ADAC issue 1 of volume 16 (2022)6
A topological data analysis based classifier6
Poisson degree corrected dynamic stochastic block model6
Profile-based latent class distance association analyses for sparse tables:application to the attitude of European citizens towards sustainable tourism5
Contamination transformation matrix mixture modeling for skewed data groups with heavy tails and scatter5
Clustering large mixed-type data with ordinal variables5
Special issue on “Advances in clustering, classification and related methods”5
LASSO regularization within the LocalGLMnet architecture5
Unsupervised learning from attributed networks4
Principal component analysis constrained by layered simple structures4
A two-group canonical variate analysis biplot for an optimal display of both means and cases4
Modal clustering of matrix-variate data4
Claims fraud detection with uncertain labels4
Composite likelihood methods for parsimonious model-based clustering of mixed-type data4
Clustering and classification of spatio-temporal data using spatial dynamic panel data models4
Editorial for ADAC issue 4 of volume 19 (2025)4
Threshold-based Naïve Bayes classifier4
Editorial for ADAC issue 3 of volume 16 (2022)4
Special issue on “advances in models and learning for clustering and classification”4
Comparing flexible modelling approaches: the varying-thresholds model versus quantile regression4
Determinantal consensus clustering4
Clustering with missing data: which equivalent for Rubin’s rules?4
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