Journal of Classification
1984 - 2025
Current editor(s): Douglas Steinley From: Springer The Classification Society Bibliographic data for series maintained by Sonal Shukla (sonal.shukla@springer.com) and Springer Nature Abstracting and Indexing (indexing@springernature.com). Access Statistics for this journal.
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Volume 39, issue 3, 2022
- Editorial: Journal of Classification Vol. 39-3 pp. 409-409

- Paul D. McNicholas
- Network-Based Discriminant Analysis for Multiclassification pp. 410-431

- Li-Pang Chen
- Community Detection in Feature-Rich Networks Using Data Recovery Approach pp. 432-462

- Boris Mirkin and Soroosh Shalileh
- Finite Mixture of Censored Linear Mixed Models for Irregularly Observed Longitudinal Data pp. 463-486

- Francisco H. C. Alencar, Larissa A Matos and Víctor H. Lachos
- Understanding the Adjusted Rand Index and Other Partition Comparison Indices Based on Counting Object Pairs pp. 487-509

- Matthijs J. Warrens and Hanneke Hoef
- Infinite Mixtures of Multivariate Normal-Inverse Gaussian Distributions for Clustering of Skewed Data pp. 510-552

- Yuan Fang, Dimitris Karlis and Sanjeena Subedi
- Hierarchical Means Clustering pp. 553-577

- Maurizio Vichi, Carlo Cavicchia and Patrick J. F. Groenen
- Multinomial Principal Component Logistic Regression on Shape Data pp. 578-599

- Meisam Moghimbeygi and Anahita Nodehi
- A Kemeny Distance-Based Robust Fuzzy Clustering for Preference Data pp. 600-647

- Pierpaolo D’Urso and Vincenzina Vitale
- Group-Wise Shrinkage Estimation in Penalized Model-Based Clustering pp. 648-674

- Alessandro Casa, Andrea Cappozzo and Michael Fop
Volume 39, issue 2, 2022
- Editorial: Journal of Classification Vol. 39-2 pp. 217-217

- Paul D. McNicholas
- The Spatial Representation of Consumer Dispersion Patterns via a New Multi-level Latent Class Methodology pp. 218-239

- Sunghoon Kim, Ashley Stadler Blank, Wayne S. DeSarbo and Jeroen K. Vermunt
- Erratum to: The Spatial Representation of Consumer Dispersion Patterns via a New Multi-level Latent Class Methodology pp. 240-240

- Sunghoon Kim, Ashley Stadler Blank, Wayne S. DeSarbo and Jeroen K. Vermunt
- Ordinal Trees and Random Forests: Score-Free Recursive Partitioning and Improved Ensembles pp. 241-263

- Gerhard Tutz
- Model Selection Strategies for Determining the Optimal Number of Overlapping Clusters in Additive Overlapping Partitional Clustering pp. 264-301

- Julian Rossbroich, Jeffrey Durieux and Tom F. Wilderjans
- Supervised Classification for Link Prediction in Facebook Ego Networks With Anonymized Profile Information pp. 302-325

- Riccardo Giubilei and Pierpaolo Brutti
- On Assessments of Agreement Between Fuzzy Partitions pp. 326-342

- Jeffrey L. Andrews, Ryan Browne and Chelsey D. Hvingelby
- Batch Self-Organizing Maps for Distributional Data with an Automatic Weighting of Variables and Components pp. 343-375

- Francisco de A. T. Carvalho, Antonio Irpino, Rosanna Verde and Antonio Balzanella
- Complex Principal Component Analysis: Theory and Geometrical Aspects pp. 376-408

- Jean-Jacques Denimal and Sergio Camiz
Volume 39, issue 1, 2022
- Editorial: Journal of Classification Vol. 39-1 pp. 1-2

- Paul D. McNicholas
- On Finite Mixture Modeling of Change-point Processes pp. 3-22

- Xuwen Zhu and Yana Melnykov
- Erratum to: On Finite Mixture Modeling of Change-Point Processes pp. 23-23

- Xuwen Zhu and Yana Melnykov
- A Gibbs Sampling Algorithm with Monotonicity Constraints for Diagnostic Classification Models pp. 24-54

- Kazuhiro Yamaguchi and Jonathan Templin
- Partition of Interval-Valued Observations Using Regression pp. 55-77

- Fei Liu and L. Billard
- Comparing Boosting and Bagging for Decision Trees of Rankings pp. 78-99

- Antonella Plaia, Simona Buscemi, Johannes Fürnkranz and Eneldo Loza Mencía
- Similarity-Reduced Diversities: the Effective Entropy and the Reduced Entropy pp. 100-121

- François Bavaud
- Interaction Identification and Clique Screening for Classification with Ultra-high Dimensional Discrete Features pp. 122-146

- Baiguo An, Guozhong Feng and Jianhua Guo
- MatTransMix: an R Package for Matrix Model-Based Clustering and Parsimonious Mixture Modeling pp. 147-170

- Xuwen Zhu, Shuchismita Sarkar and Volodymyr Melnykov
- Chimeral Clustering pp. 171-190

- Jason Hou-Liu and Ryan P. Browne
- High-Dimensional Clustering via Random Projections pp. 191-216

- Laura Anderlucci, Francesca Fortunato and Angela Montanari
Volume 38, issue 3, 2021
- Editorial: Journal of Classification Vol. 38-3 pp. 423-424

- Paul D. McNicholas
- Clustering Brain Signals: a Robust Approach Using Functional Data Ranking pp. 425-442

- Tianbo Chen, Ying Sun, Carolina Euan and Hernando Ombao
- Wavelet Multidimensional Scaling Analysis of European Economic Sentiment Indicators pp. 443-480

- Antonis Michis
- Polarized Classification Tree Models: Theory and Computational Aspects pp. 481-499

- Elena Ballante, Marta Galvani, Pierpaolo Uberti and Silvia Figini
- A Unified Theory of the Completeness of Q-Matrices for the DINA Model pp. 500-518

- Hans Friedrich Köhn and Chia-Yi Chiu
- A Comparison of Reliability Coefficients for Ordinal Rating Scales pp. 519-543

- Alexandra Raadt, Matthijs J. Warrens, Roel J. Bosker and Henk A. L. Kiers
- A Model-Free Subject Selection Method for Active Learning Classification Procedures pp. 544-555

- Bo-Shiang Ke and Yuan-chin Ivan Chang
- Matrix Normal Cluster-Weighted Models pp. 556-575

- Salvatore D. Tomarchio, Paul D. McNicholas and Antonio Punzo
- On Bayesian Analysis of Parsimonious Gaussian Mixture Models pp. 576-593

- Xiang Lu, Yaoxiang Li and Tanzy Love
- Estimating the Covariance Matrix of the Maximum Likelihood Estimator Under Linear Cluster-Weighted Models pp. 594-625

- Gabriele Soffritti
- Co-clustering of Time-Dependent Data via the Shape Invariant Model pp. 626-649

- Alessandro Casa, Charles Bouveyron, Elena Erosheva and Giovanna Menardi
Volume 38, issue 2, 2021
- Editorial: Journal of Classification Vol. 38-2 pp. 187-187

- Paul D. McNicholas
- Model-based Clustering of Count Processes pp. 188-211

- Tin Lok James Ng and Thomas Brendan Murphy
- Improved Outcome Prediction Across Data Sources Through Robust Parameter Tuning pp. 212-231

- Nicole Ellenbach, Anne-Laure Boulesteix, Bernd Bischl, Kristian Unger and Roman Hornung
- Initializing k-means Clustering by Bootstrap and Data Depth pp. 232-256

- Aurora Torrente and Juan Romo
- Explicit Agreement Extremes for a 2 × 2 Table with Given Marginals pp. 257-263

- José E. Chacón
- An Evolutionary Algorithm with Crossover and Mutation for Model-Based Clustering pp. 264-279

- Sharon M. McNicholas, Paul D. McNicholas and Daniel A. Ashlock
- Using Projection-Based Clustering to Find Distance- and Density-Based Clusters in High-Dimensional Data pp. 280-312

- Michael C. Thrun and Alfred Ultsch
- k-Means, Ward and Probabilistic Distance-Based Clustering Methods with Contiguity Constraint pp. 313-352

- Andrzej Młodak
- Alternative Axioms in Group Identification Problems pp. 353-362

- Federico Fioravanti and Fernando Tohmé
- Applicability and Interpretability of Ward’s Hierarchical Agglomerative Clustering With or Without Contiguity Constraints pp. 363-389

- Nathanaël Randriamihamison, Nathalie Vialaneix and Pierre Neuvial
- A Unified Treatment of Agreement Coefficients and their Asymptotic Results: the Formula of the Weighted Mean of Weighted Ratios pp. 390-422

- Haruhiko Ogasawara
Volume 38, issue 1, 2021
- Editorial: Journal of Classification Vol. 38-1 pp. 1-1

- Paul D. McNicholas
- A Membership Probability–Based Undersampling Algorithm for Imbalanced Data pp. 2-15

- Gilseung Ahn, You-Jin Park and Sun Hur
- A New Performance Evaluation Metric for Classifiers: Polygon Area Metric pp. 16-26

- Onder Aydemir
- Modified Subspace Constrained Mean Shift Algorithm pp. 27-43

- Youness Aliyari Ghassabeh and Frank Rudzicz
- Spherical Classification of Data, a New Rule-Based Learning Method pp. 44-71

- Zhengyu Ma and Hong Seo Ryoo
- Consumer Segmentation Based on Use Patterns pp. 72-88

- Juan José Fernández-Durán and María Mercedes Gregorio-Domínguez
- A Variational Approximations-DIC Rubric for Parameter Estimation and Mixture Model Selection Within a Family Setting pp. 89-108

- Sanjeena Subedi and Paul D. McNicholas
- “Compositional Data Analysis in Practice” by Michael Greenacre Universitat Pompeu Fabra (Barcelona, Spain), Chapman and Hall/CRC, 2018 pp. 109-111

- J. A. Martín-Fernández
- Adjusted Concordance Index: an Extensionl of the Adjusted Rand Index to Fuzzy Partitions pp. 112-128

- Antonio D’Ambrosio, Sonia Amodio, Carmela Iorio, Giuseppe Pandolfo and Roberta Siciliano
- Gaussian-Based Visualization of Gaussian and Non-Gaussian-Based Clustering pp. 129-157

- Christophe Biernacki, Matthieu Marbac and Vincent Vandewalle
- Comparing High-Dimensional Partitions with the Co-clustering Adjusted Rand Index pp. 158-186

- Valerie Robert, Yann Vasseur and Vincent Brault
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