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 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
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