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 2021-11-01 to 2025-11-01.)
ArticleCitations
A link function specification test in the single functional index model49
Robust regression for interval-valued data based on midpoints and log-ranges28
Multivariate count time series segmentation with “sums and shares” and Poisson lognormal mixture models: a comparative study using pedestrian flows within a multimodal transport hub22
Model-based clustering using a new multivariate skew distribution18
An enhanced version of the SSA-HJ-biplot for time series with complex structure15
Application of distance standard deviation in functional data analysis14
On mathematical optimization for clustering categories in contingency tables13
Applications of dual regularized Laplacian matrix for community detection13
Polynomial approximate discretization of geometric centers in high-dimensional Euclidean space13
Least-squares bilinear clustering of three-way data12
Kurtosis removal for data pre-processing12
QDA classification of high-dimensional data with rare and weak signals11
Special issue on “New methodologies in clustering and classification for complex and/or big data”10
Notes on the H-measure of classifier performance10
Sequential classification of customer behavior based on sequence-to-sequence learning with gated-attention neural networks9
Sparse dimension reduction based on energy and ball statistics9
Statistical jump model for mixed-type data with missing data imputation9
Multidimensional scaling for big data8
Nonparametric regression and classification with functional, categorical, and mixed covariates8
Model-based clustering and outlier detection with missing data7
Attraction-repulsion clustering: a way of promoting diversity linked to demographic parity in fair clustering7
Robust clustering of functional directional data7
Clustering data with non-ignorable missingness using semi-parametric mixture models assuming independence within components6
Natural language processing and financial markets: semi-supervised modelling of coronavirus and economic news6
Proximal methods for sparse optimal scoring and discriminant analysis6
On discriminating between lognormal and Pareto tail: an unsupervised mixture-based approach6
Correction to: Statistical jump model for mixed-type data with missing data imputation6
Entropy-based fuzzy clustering of interval-valued time series6
Poisson degree corrected dynamic stochastic block model5
Editorial for ADAC issue 1 of volume 16 (2022)5
A topological data analysis based classifier5
Special issue on “Advances in clustering, classification and related methods”5
Clustering large mixed-type data with ordinal variables4
Clustering with missing data: which equivalent for Rubin’s rules?4
A two-step estimator for generalized linear models for longitudinal data with time-varying measurement error4
Contamination transformation matrix mixture modeling for skewed data groups with heavy tails and scatter4
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
Modal clustering of matrix-variate data4
LASSO regularization within the LocalGLMnet architecture4
Claims fraud detection with uncertain labels4
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 cases3
Unsupervised learning from attributed networks3
Principal component analysis constrained by layered simple structures3
Special issue on “Models and learning for clustering and Classification”3
Benchmarking distance-based partitioning methods for mixed-type data3
Model based clustering of multinomial count data3
An empirical comparison and characterisation of nine popular clustering methods3
Correction to: Multivariate cluster weighted models using skewed distributions3
Comparing flexible modelling approaches: the varying-thresholds model versus quantile regression3
Determinantal consensus clustering3
Initialization strategies for clustering mixed-type data with the k-prototypes algorithm3
Finite mixture of hidden Markov models for tensor-variate time series data3
Semiparametric mixture of linear regressions with nonparametric Gaussian scale mixture errors3
A fresh look at mean-shift based modal clustering3
Theory of angular depth for classification of directional data3
Editorial for ADAC issue 3 of volume 16 (2022)3
Composite likelihood methods for parsimonious model-based clustering of mixed-type data3
Clustering and classification of spatio-temporal data using spatial dynamic panel data models3
Robust functional logistic regression3
Mixed-type kernel-based quantification of similarity for clustering3
Reducing the dimensionality and granularity in hierarchical categorical variables3
Gaussian mixture model with an extended ultrametric covariance structure2
Random models for adjusting fuzzy rand index extensions2
A probabilistic method for reconstructing the Foreign Direct Investments network in search of ultimate host economies2
Editorial for ADAC issue 3 of volume 17 (2023)2
Multivariate cluster weighted models using skewed distributions2
Structural equation modeling with factors and composites within the framework of the basic design2
Classification based on multivariate mixed type longitudinal data with an application to the EU-SILC database2
Constrained clustering and multiple kernel learning without pairwise constraint relaxation2
MLE for the parameters of bivariate interval-valued model2
Kernel biclustering algorithm in Hilbert spaces2
View selection in multi-view stacking: choosing the meta-learner2
A low-rank non-convex norm method for multiview graph clustering2
Characterisation and calibration of multiversal methods2
Scalable Bayesian p-generalized probit and logistic regression2
Sparsifying the least-squares approach to PCA: comparison of lasso and cardinality constraint2
Semiparametric finite mixture of regression models with Bayesian P-splines2
Directional density-based clustering2
A power-controlled reliability assessment for multi-class probabilistic classifiers2
Localization processes for functional data analysis1
Robust and sparse logistic regression1
A dual subspace parsimonious mixture of matrix normal distributions1
Mixture modeling with normalizing flows for spherical density estimation1
Assessing similarities between spatial point patterns with a Siamese neural network discriminant model1
Clustering by deep latent position model with graph convolutional network1
Correction to: Principal component analysis constrained by layered simple structures1
Factor and hybrid components for model-based clustering1
Variational inference for estimating dynamic stochastic block models through an evolutionary algorithm1
Natural-neighborhood based, label-specific undersampling for imbalanced, multi-label data1
Sparse constrained and unconstrained non-symmetric correspondence analysis1
Functional independent component analysis by choice of norm: a framework for near-perfect classification1
Editorial for ADAC issue 1 of volume 17 (2023)1
Modeling time-dependent population proportions in a finite mixture model setting1
Optimal projections for Gaussian discriminants1
Model-based clustering of high-dimensional incomplete data via contaminated-normal mixtures1
Quantile composite-based path modeling: algorithms, properties and applications1
Two-stage principal component analysis on interval-valued data using patterned covariance structures1
Loss-guided stability selection1
Comparison of internal evaluation criteria in hierarchical clustering of categorical data1
Parametric models for distributional data1
A new model for counterfactual analysis for functional data1
Minimum adjusted Rand index for two clusterings of a given size1
Robust Bayesian inference for the censored mixture of experts model using heavy-tailed distributions1
Correction: Characterisation and calibration of multiversal methods1
An analytic strategy for data processing of multimode networks1
A consensus-constrained parsimonious Gaussian mixture model for clustering hyperspectral images1
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