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 2021-11-01 to 2025-11-01.)
ArticleCitations
Flexible Clustering with a Sparse Mixture of Generalized Hyperbolic Distributions72
Erratum to: The Spatial Representation of Consumer Dispersion Patterns via a New Multi-level Latent Class Methodology28
Expanding the Class of Global Objective Functions for Dissimilarity-Based Hierarchical Clustering17
Vine Copula-Based Classifiers with Applications15
On the Use of Contaminated Normal Distributions for Modeling Data Groups with Heavy Tails and Outliers11
On the Local Ultrametricity of Finite Metric Data11
Clustered Sparse Structural Equation Modeling for Heterogeneous Data10
Merging Components in Linear Gaussian Cluster-Weighted Models8
SNN-PDM: An Improved Probability Density Machine Algorithm Based on Shared Nearest Neighbors Clustering Technique8
Group-Wise Shrinkage Estimation in Penalized Model-Based Clustering7
Editorial: Journal of Classification Vol. 42-17
Editorial: Journal of Classification Vol. 42-27
Ordinal Trees and Random Forests: Score-Free Recursive Partitioning and Improved Ensembles7
Erratum: Classification Under Partial Reject Options6
Missing Values and Directional Outlier Detection in Model-Based Clustering6
Curve Clustering via Pairwise Directions Estimation6
Automatic Topic Title Assignment with Word Embedding6
Multiclass Sparse Discriminant Analysis Incorporating Graphical Structure Among Predictors6
E-ReMI: Extended Maximal Interaction Two-mode Clustering5
Slope Stability Classification Model Based on Single-Valued Neutrosophic Matrix Energy and Its Application Under a Single-Valued Neutrosophic Matrix Scenario5
Natural Language-Based Synthetic Data Generation for Cluster Analysis4
Two Simple but Efficient Algorithms to Recognize Robinson Dissimilarities4
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 Learning3
A Semi-parametric Density Estimation with Application in Clustering3
Random Forest Variable Importance-Based Selection Algorithm in Class Imbalance Problem3
Copula-Based Non-Metric Unfolding on Augmented Data Matrix3
Combining Semi-supervised Clustering and Classification Under a Generalized Framework3
Binary Peacock Algorithm: A Novel Metaheuristic Approach for Feature Selection3
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