Journal of Classification

Papers
(The TQCC of Journal of 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 2022-01-01 to 2026-01-01.)
ArticleCitations
Flexible Clustering with a Sparse Mixture of Generalized Hyperbolic Distributions82
Expanding the Class of Global Objective Functions for Dissimilarity-Based Hierarchical Clustering32
Vine Copula-Based Classifiers with Applications18
On the Local Ultrametricity of Finite Metric Data16
On the Use of Contaminated Normal Distributions for Modeling Data Groups with Heavy Tails and Outliers12
SNN-PDM: An Improved Probability Density Machine Algorithm Based on Shared Nearest Neighbors Clustering Technique11
Clustered Sparse Structural Equation Modeling for Heterogeneous Data11
Merging Components in Linear Gaussian Cluster-Weighted Models8
Double-Layer Conditional Mixture Model for Model-Based Clustering and Automatic Component Merging8
Editorial: Journal of Classification Vol. 42-38
Editorial: Journal of Classification Vol. 42-17
Editorial: Journal of Classification Vol. 42-27
Group-Wise Shrinkage Estimation in Penalized Model-Based Clustering7
Multiclass Sparse Discriminant Analysis Incorporating Graphical Structure Among Predictors6
Erratum: Classification Under Partial Reject Options6
Curve Clustering via Pairwise Directions Estimation6
Missing Values and Directional Outlier Detection in Model-Based Clustering6
Automatic Topic Title Assignment with Word Embedding5
Two Simple but Efficient Algorithms to Recognize Robinson Dissimilarities5
Slope Stability Classification Model Based on Single-Valued Neutrosophic Matrix Energy and Its Application Under a Single-Valued Neutrosophic Matrix Scenario5
E-ReMI: Extended Maximal Interaction Two-mode Clustering5
Computing Finite Mixture Estimators in the Tails4
Imputation Strategies for Clustering Mixed-Type Data with Missing Values4
Mixed-Type Distance Shrinkage and Selection for Clustering via Kernel Metric Learning4
Binary Peacock Algorithm: A Novel Metaheuristic Approach for Feature Selection3
A Semi-parametric Density Estimation with Application in Clustering3
Model Selection Strategies for Determining the Optimal Number of Overlapping Clusters in Additive Overlapping Partitional Clustering3
Erratum to: Mixtures of Quantile-Based Factor Analyzers3
Extending Cluster-Weighted Factor Analyzers for Multivariate Prediction and Interpretability3
Copula-Based Non-Metric Unfolding on Augmented Data Matrix3
Natural Language-Based Synthetic Data Generation for Cluster Analysis3
Erratum to: Variable Selection for Hidden Markov Models with Continuous Variables and Missing Data3
Model-Based Clustering and Classification Using Mixtures of Multivariate Skewed Power Exponential Distributions3
Combining Semi-supervised Clustering and Classification Under a Generalized Framework3
Random Forest Variable Importance-Based Selection Algorithm in Class Imbalance Problem3
Studying Hierarchical Latent Structures in Heterogeneous Populations with Missing Information3
Finding Outliers in Gaussian Model-based Clustering3
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