Journal of Classification
1984 - 2025
Current editor(s): Douglas Steinley From: Springer The Classification Society Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing (). Access Statistics for this journal.
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Volume 42, issue 1, 2025
- Editorial: Journal of Classification Vol. 42-1 pp. 1-1

- Paul D. McNicholas
- Normalised Clustering Accuracy: An Asymmetric External Cluster Validity Measure pp. 2-30

- Marek Gagolewski
- A New Look at the Dirichlet Distribution: Robustness, Clustering, and Both Together pp. 31-53

- Salvatore D. Tomarchio, Antonio Punzo, Johannes T. Ferreira and Andriette Bekker
- Cluster Validation Based on Fisher’s Linear Discriminant Analysis pp. 54-71

- Fabian Kächele and Nora Schneider
- A New Matrix Feature Selection Strategy in Machine Learning Models for Certain Krylov Solver Prediction pp. 72-89

- Hai-Bing Sun, Yan-Fei Jing and Xiao-Wen Xu
- Clustering with Minimum Spanning Trees: How Good Can It Be? pp. 90-112

- Marek Gagolewski, Anna Cena, Maciej Bartoszuk and Łukasz Brzozowski
- Flexible Clustering with a Sparse Mixture of Generalized Hyperbolic Distributions pp. 113-133

- Alexa A. Sochaniwsky, Michael P. B. Gallaugher, Yang Tang and Paul D. McNicholas
- An Effective Crow Search Algorithm and Its Application in Data Clustering pp. 134-162

- Rajesh Ranjan and Jitender Kumar Chhabra
- Slope Stability Classification Model Based on Single-Valued Neutrosophic Matrix Energy and Its Application Under a Single-Valued Neutrosophic Matrix Scenario pp. 163-180

- Jun Ye, Kaiqian Du, Shigui Du and Rui Yong
- Combining Semi-supervised Clustering and Classification Under a Generalized Framework pp. 181-204

- Zhen Jiang, Lingyun Zhao and Yu Lu
- Clustering-Based Oversampling Algorithm for Multi-class Imbalance Learning pp. 205-220

- Haixia Zhao and Jian Wu
- Multi-task Support Vector Machine Classifier with Generalized Huber Loss pp. 221-252

- Qi Liu, Wenxin Zhu, Zhengming Dai and Zhihong Ma
- How to Measure the Researcher Impact with the Aid of its Impactable Area: A Concrete Approach Using Distance Geometry pp. 253-281

- Beniamino Cappelletti-Montano, Gianmarco Cherchi, Benedetto Manca, Stefano Montaldo and Monica Musio
Volume 41, issue 3, 2024
- Editorial: Journal of Classification Vol. 41-3 pp. 427-428

- Mark Rooij, Brian C. Franczak, Cinzia Viroli, Arthur White and Paul D. McNicholas
- Matrix-Variate Hidden Markov Regression Models: Fixed and Random Covariates pp. 429-454

- Salvatore D. Tomarchio, Antonio Punzo and Antonello Maruotti
- Two Simple but Efficient Algorithms to Recognize Robinson Dissimilarities pp. 455-479

- M. Carmona, V. Chepoi, G. Naves and P. Préa
- Missing Values and Directional Outlier Detection in Model-Based Clustering pp. 480-513

- Hung Tong and Cristina Tortora
- funLOCI: A Local Clustering Algorithm for Functional Data pp. 514-532

- Jacopo Di Iorio and Simone Vantini
- Parsimonious Seemingly Unrelated Contaminated Normal Cluster-Weighted Models pp. 533-567

- Gabriele Perrone and Gabriele Soffritti
- Variable Selection for Hidden Markov Models with Continuous Variables and Missing Data pp. 568-589

- Fulvia Pennoni, Francesco Bartolucci and Silvia Pandolfi
- Erratum to: Variable Selection for Hidden Markov Models with Continuous Variables and Missing Data pp. 590-590

- Fulvia Pennoni, Francesco Bartolucci and Silvia Pandolfi
- Inferential Tools for Assessing Dependence Across Response Categories in Multinomial Models with Discrete Random Effects pp. 591-619

- Chiara Masci, Francesca Ieva and Anna Maria Paganoni
- Skew Multiple Scaled Mixtures of Normal Distributions with Flexible Tail Behavior and Their Application to Clustering pp. 620-649

- Abbas Mahdavi, Anthony F. Desmond, Ahad Jamalizadeh and Tsung-I Lin
- Automatic Topic Title Assignment with Word Embedding pp. 650-677

- Gianpaolo Zammarchi, Maurizio Romano and Claudio Conversano
- Copula-Based Non-Metric Unfolding on Augmented Data Matrix pp. 678-697

- Marta Nai Ruscone, Daniel Fernández and Antonio D’Ambrosio
Volume 41, issue 2, 2024
- Editorial: Journal of Classification Vol. 41-2 pp. 215-215

- Paul D. McNicholas
- Binary Peacock Algorithm: A Novel Metaheuristic Approach for Feature Selection pp. 216-244

- Hema Banati, Richa Sharma and Asha Yadav
- Accelerated Sequential Data Clustering pp. 245-263

- Reza Mortazavi, Elham Enayati and Abdolali Basiri
- A Novel Classification Algorithm Based on the Synergy Between Dynamic Clustering with Adaptive Distances and K-Nearest Neighbors pp. 264-288

- Mohammed Sabri, Rosanna Verde, Antonio Balzanella, Fabrizio Maturo, Hamid Tairi, Ali Yahyaouy and Jamal Riffi
- SNN-PDM: An Improved Probability Density Machine Algorithm Based on Shared Nearest Neighbors Clustering Technique pp. 289-312

- Shiqi Wu, Hualong Yu, Yan Gu, Changbin Shao and Shang Gao
- Finding Outliers in Gaussian Model-based Clustering pp. 313-337

- Katharine M. Clark and Paul D. McNicholas
- Density Peak Clustering Using Grey Wolf Optimization Approach pp. 338-370

- Preeti and Kusum Deep
- Clustering Longitudinal Data for Growth Curve Modelling by Gibbs Sampler and Information Criterion pp. 371-401

- Yu Fei, Rongli Li, Zhouhong Li and Guoqi Qian
- Sensitivity and Specificity versus Precision and Recall, and Related Dilemmas pp. 402-426

- William Cullerne Bown
Volume 41, issue 1, 2024
- Editorial: Journal of Classification Vol. 41-1 pp. 1-1

- Paul D. McNicholas
- Classification Under Partial Reject Options pp. 2-37

- Måns Karlsson and Ola Hössjer
- Erratum: Classification Under Partial Reject Options pp. 38-38

- Måns Karlsson and Ola Hössjer
- Model-Based Clustering with Nested Gaussian Clusters pp. 39-64

- Jason Hou-Liu and Ryan P. Browne
- Unsupervised Classification with a Family of Parsimonious Contaminated Shifted Asymmetric Laplace Mixtures pp. 65-93

- Paul McLaughlin, Brian C. Franczak and Adam B. Kashlak
- Nonparametric Cognitive Diagnosis When Attributes Are Polytomous pp. 94-128

- Youn Seon Lim
- Soft Label Guided Unsupervised Discriminative Sparse Subspace Feature Selection pp. 129-157

- Keding Chen, Yong Peng, Feiping Nie and Wanzeng Kong
- Supervised Classification of High-Dimensional Correlated Data: Application to Genomic Data pp. 158-169

- Aboubacry Gaye, Abdou Ka Diongue, Seydou Nourou Sylla, Maryam Diarra, Amadou Diallo, Cheikh Talla and Cheikh Loucoubar
- Prediction of Forest Fire Risk for Artillery Military Training using Weighted Support Vector Machine for Imbalanced Data pp. 170-189

- Ji Hyun Nam, Jongmin Mun, Seongil Jo and Jaeoh Kim
- Multinomial Restricted Unfolding pp. 190-213

- Mark de Rooij and Frank Busing
Volume 40, issue 3, 2023
- Editorial: Journal of Classification Vol. 40-3 pp. 467-467

- Paul D. McNicholas
- Do Prior Information on Performance of Individual Classifiers for Fusion of Probabilistic Classifier Outputs Matter? pp. 468-487

- Jordan Felicien Masakuna and Pierre Katalay Kafunda
- A Robust Contextual Fuzzy C-Means Clustering Algorithm for Noisy Image Segmentation pp. 488-512

- Karim Kalti and Asma Touil
- Expanding the Class of Global Objective Functions for Dissimilarity-Based Hierarchical Clustering pp. 513-526

- Sebastien Roch
- On Model-Based Clustering of Directional Data with Heavy Tails pp. 527-551

- Yingying Zhang, Volodymyr Melnykov and Igor Melnykov
- Optimal Band Selection Using Evolutionary Machine Learning to Improve the Accuracy of Hyper-spectral Images Classification: a Novel Migration-Based Particle Swarm Optimization pp. 552-587

- Milad Vahidi, Sina Aghakhani, Diego Martín, Hossein Aminzadeh and Mehrdad Kaveh
- Clustered Sparse Structural Equation Modeling for Heterogeneous Data pp. 588-613

- Ippei Takasawa, Kensuke Tanioka and Hiroshi Yadohisa
- Multiclass Sparse Discriminant Analysis Incorporating Graphical Structure Among Predictors pp. 614-637

- Jingxuan Luo, Xuejiao Li, Chongxiu Yu and Gaorong Li
- Logistic Normal Multinomial Factor Analyzers for Clustering Microbiome Data pp. 638-667

- Wangshu Tu and Sanjeena Subedi
Volume 40, issue 2, 2023
- Editorial: Journal of Classification Vol. 40-2 pp. 213-213

- Paul D. McNicholas
- Characteristics of Distance Matrices Based on Euclidean, Manhattan and Hausdorff Coefficients pp. 214-232

- J. T. Temple
- Local and Overall Deviance R-Squared Measures for Mixtures of Generalized Linear Models pp. 233-266

- Roberto Mari, Salvatore Ingrassia and Antonio Punzo
- Computing Finite Mixture Estimators in the Tails pp. 267-297

- Marilena Furno
- E-ReMI: Extended Maximal Interaction Two-mode Clustering pp. 298-331

- Zaheer Ahmed, Alberto Cassese, Gerard Breukelen and Jan Schepers
- A Survey on Model-Based Co-Clustering: High Dimension and Estimation Challenges pp. 332-381

- C. Biernacki, J. Jacques and C. Keribin
- Dynamic Kernel Clustering by Spider Monkey Optimization Algorithm pp. 382-406

- Vaishali P. Patel and L. K. Vishwamitra
- Zero-Inflated Time Series Clustering Via Ensemble Thick-Pen Transform pp. 407-431

- Minji Kim, Hee-Seok Oh and Yaeji Lim
- CPclus: Candecomp/Parafac Clustering Model for Three-Way Data pp. 432-465

- Donatella Vicari and Paolo Giordani
Volume 40, issue 1, 2023
- Editorial: Journal of Classification Vol. 40-1 pp. 1-1

- Paul D. McNicholas
- Imputation Strategies for Clustering Mixed-Type Data with Missing Values pp. 2-24

- Rabea Aschenbruck, Gero Szepannek and Adalbert F. X. Wilhelm
- Merging Components in Linear Gaussian Cluster-Weighted Models pp. 25-51

- Sangkon Oh and Byungtae Seo
- A Semi-parametric Density Estimation with Application in Clustering pp. 52-78

- Mahdi Salehi, Andriette Bekker and Mohammad Arashi
- Uncertainty Diagnostics of Binomial Regression Trees for Ordered Rating Data pp. 79-105

- Rosaria Simone
- DDCAL: Evenly Distributing Data into Low Variance Clusters Based on Iterative Feature Scaling pp. 106-144

- Marian Lux and Stefanie Rinderle-Ma
- Model-Based Clustering and Classification Using Mixtures of Multivariate Skewed Power Exponential Distributions pp. 145-167

- Utkarsh J. Dang, Michael P.B. Gallaugher, Ryan P. Browne and Paul D. McNicholas
- Classification Trees with Mismeasured Responses pp. 168-191

- Liqun Diao and Grace Y. Yi
- Finding the Proverbial Needle: Improving Minority Class Identification Under Extreme Class Imbalance pp. 192-212

- Trent Geisler, Herman Ray and Ying Xie
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