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 2022-08-01 to 2026-08-01.)
ArticleCitations
Model-based clustering using a new multivariate skew distribution76
An enhanced version of the SSA-HJ-biplot for time series with complex structure25
Multivariate count time series segmentation with “sums and shares” and Poisson lognormal mixture models: a comparative study using pedestrian flows within a multimodal transport hub20
Robust regression for interval-valued data based on midpoints and log-ranges20
A link function specification test in the single functional index model17
Application of distance standard deviation in functional data analysis15
QDA classification of high-dimensional data with rare and weak signals15
Considerations for robust ICA: a discussion of the PICARD framework15
Joint quantile regression for multinomial outcomes14
Applications of dual regularized Laplacian matrix for community detection14
Regularized sparse optimal discriminant clustering14
Special issue on “New methodologies in clustering and classification for complex and/or big data”13
Nonparametric regression and classification with functional, categorical, and mixed covariates12
A penalized spline estimator for functional linear regression with functional response10
Statistical jump model for mixed-type data with missing data imputation9
Robust mixture modeling using the truncated t distribution: recent advances and new results9
Sequential classification of customer behavior based on sequence-to-sequence learning with gated-attention neural networks8
Multidimensional scaling for big data8
Proximal methods for sparse optimal scoring and discriminant analysis7
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
An effective differentiable clustering approach for human activity recognition7
Clustering data with non-ignorable missingness using semi-parametric mixture models assuming independence within components6
A topological data analysis based classifier6
Natural language processing and financial markets: semi-supervised modelling of coronavirus and economic news6
Entropy-based fuzzy clustering of interval-valued time series6
Approaches to biological species delimitation based on genetic and spatial dissimilarity6
LASSO regularization within the LocalGLMnet architecture5
Clustering with missing data: which equivalent for Rubin’s rules?5
Composite likelihood methods for parsimonious model-based clustering of mixed-type data5
Special issue on “Advances in clustering, classification and related methods”5
Clustering large mixed-type data with ordinal variables5
Threshold-based Naïve Bayes classifier5
Claims fraud detection with uncertain labels5
Contamination transformation matrix mixture modeling for skewed data groups with heavy tails and scatter5
Profile-based latent class distance association analyses for sparse tables:application to the attitude of European citizens towards sustainable tourism5
Editorial for ADAC issue 3 of volume 16 (2022)5
Mixed-type kernel-based quantification of similarity for clustering4
New distance-based robust clustering algorithms for large mixed-type data4
Beyond the orthogonal group: a discussion on robust ICA and sphering transformations4
Editorial for ADAC issue 4 of volume 19 (2025)4
Model-based clustering using a new mixture of circular regressions4
Finite mixture of hidden Markov models for tensor-variate time series data4
On the ADAC issue 2 of volume 20 (2026)4
Comparing flexible modelling approaches: the varying-thresholds model versus quantile regression4
Determinantal consensus clustering4
Special issue on “advances in models and learning for clustering and classification”4
Initialization strategies for clustering mixed-type data with the k-prototypes algorithm4
Semiparametric mixture of linear regressions with nonparametric Gaussian scale mixture errors4
Discussion to the paper “Independent component analysis by robust distance correlation”4
Unsupervised learning from attributed networks4
A two-group canonical variate analysis biplot for an optimal display of both means and cases4
Clustering and classification of spatio-temporal data using spatial dynamic panel data models4
Theory of angular depth for classification of directional data4
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