Advances in Data Analysis and Classification

Papers
(The TQCC of Advances in Data Analysis and Classification is 3. 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 2021-06-01 to 2025-06-01.)
ArticleCitations
A link function specification test in the single functional index model44
An enhanced version of the SSA-HJ-biplot for time series with complex structure37
Model-based clustering using a new multivariate skew distribution20
Multivariate count time series segmentation with “sums and shares” and Poisson lognormal mixture models: a comparative study using pedestrian flows within a multimodal transport hub14
Application of distance standard deviation in functional data analysis12
Robust regression for interval-valued data based on midpoints and log-ranges12
Robust logistic zero-sum regression for microbiome compositional data11
Kurtosis removal for data pre-processing11
Least-squares bilinear clustering of three-way data11
Notes on the H-measure of classifier performance10
On mathematical optimization for clustering categories in contingency tables10
QDA classification of high-dimensional data with rare and weak signals10
Polynomial approximate discretization of geometric centers in high-dimensional Euclidean space10
Subgroup identification in individual participant data meta-analysis using model-based recursive partitioning9
Applications of dual regularized Laplacian matrix for community detection9
Special issue on “New methodologies in clustering and classification for complex and/or big data”8
Nonparametric regression and classification with functional, categorical, and mixed covariates8
A von Mises–Fisher mixture model for clustering numerical and categorical variables8
Sparse dimension reduction based on energy and ball statistics7
Sequential classification of customer behavior based on sequence-to-sequence learning with gated-attention neural networks7
Model-based clustering and outlier detection with missing data7
Statistical jump model for mixed-type data with missing data imputation7
Robust clustering of functional directional data6
Proximal methods for sparse optimal scoring and discriminant analysis6
A topological data analysis based classifier6
Attraction-repulsion clustering: a way of promoting diversity linked to demographic parity in fair clustering6
Entropy-based fuzzy clustering of interval-valued time series6
Clustering data with non-ignorable missingness using semi-parametric mixture models assuming independence within components6
Multidimensional scaling for big data6
Correction to: Statistical jump model for mixed-type data with missing data imputation6
Natural language processing and financial markets: semi-supervised modelling of coronavirus and economic news6
On discriminating between lognormal and Pareto tail: an unsupervised mixture-based approach5
Robust optimal classification trees under noisy labels5
Poisson degree corrected dynamic stochastic block model5
Editorial for ADAC issue 1 of volume 16 (2022)5
Finite mixture modeling of censored and missing data using the multivariate skew-normal distribution4
Modal clustering of matrix-variate data4
Claims fraud detection with uncertain labels4
LASSO regularization within the LocalGLMnet architecture4
Clustering large mixed-type data with ordinal variables4
Profile-based latent class distance association analyses for sparse tables:application to the attitude of European citizens towards sustainable tourism4
Contamination transformation matrix mixture modeling for skewed data groups with heavy tails and scatter4
Special issue on “Advances in clustering, classification and related methods”4
Clustering with missing data: which equivalent for Rubin’s rules?4
Determinantal consensus clustering3
Special issue on “advances in models and learning for clustering and classification”3
Composite likelihood methods for parsimonious model-based clustering of mixed-type data3
Principal component analysis constrained by layered simple structures3
Clustering and classification of spatio-temporal data using spatial dynamic panel data models3
A two-step estimator for generalized linear models for longitudinal data with time-varying measurement error3
Is there a role for statistics in artificial intelligence?3
Theory of angular depth for classification of directional data3
Comparing flexible modelling approaches: the varying-thresholds model versus quantile regression3
Unsupervised learning from attributed networks3
Threshold-based Naïve Bayes classifier3
Editorial for ADAC issue 3 of volume 16 (2022)3
A two-group canonical variate analysis biplot for an optimal display of both means and cases3
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