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 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
Volume 37, issue 3, 2020
- Editorial: Journal of Classification Vol. 37-3 pp. 549-549

- Paul D. McNicholas
- A Short Note on Improvement of Agreement Rate pp. 550-557

- Doyeob Kim and Sung-Ho Kim
- Effects of Resampling in Determining the Number of Clusters in a Data Set pp. 558-583

- Rainer Dangl and Friedrich Leisch
- Versatile Linkage: a Family of Space-Conserving Strategies for Agglomerative Hierarchical Clustering pp. 584-597

- Alberto Fernández and Sergio Gómez
- Unequal Priors in Linear Discriminant Analysis pp. 598-615

- Carmen Meegen, Sarah Schnackenberg and Uwe Ligges
- A General Framework for Dimensionality Reduction of K-Means Clustering pp. 616-631

- Tong Wu, Yanni Xiao, Muhan Guo and Feiping Nie
- Are We Underestimating Food Insecurity? Partial Identification with a Bayesian 4-Parameter IRT Model pp. 632-655

- Christian A. Gregory
- An Optimal Weight Semi-Supervised Learning Machine for Neural Networks with Time Delay pp. 656-670

- Chengbo Lu and Ying Mei
- Proximity Curves for Potential-Based Clustering pp. 671-695

- Attila Csenki, Daniel Neagu, Denis Torgunov and Natasha Micic
- ROC and AUC with a Binary Predictor: a Potentially Misleading Metric pp. 696-708

- John Muschelli
- Cognitive Diagnostic Computerized Adaptive Testing for Polytomously Scored Items pp. 709-729

- Xuliang Gao, Daxun Wang, Yan Cai and Dongbo Tu
- C443: a Methodology to See a Forest for the Trees pp. 730-753

- Aniek Sies and Iven Mechelen
- Lorenz Model Selection pp. 754-768

- Paolo Giudici and Emanuela Raffinetti
- An Impartial Trimming Approach for Joint Dimension and Sample Reduction pp. 769-788

- Luca Greco, Antonio Lucadamo and Pietro Amenta
- A Note on the Formal Implementation of the K-means Algorithm with Hard Positive and Negative Constraints pp. 789-809

- Igor Melnykov and Volodymyr Melnykov
Volume 37, issue 2, 2020
- Editorial: Journal of Classification Vol. 37-2 pp. 275-276

- Paul D. McNicholas and Douglas L. Steinley
- Accurate Bayesian Data Classification Without Hyperparameter Cross-Validation pp. 277-297

- Mansoor Sheikh and A. C. C. Coolen
- Bayesian Local Influence of Generalized Failure Time Models with Latent Variables and Multivariate Censored Data pp. 298-316

- Ming Ouyang and Xinyuan Song
- Moduli Space of Families of Positive (n − 1)-Weights pp. 317-327

- Simone Calamai
- A Partial Mastery, Higher-Order Latent Structural Model for Polytomous Attributes in Cognitive Diagnostic Assessments pp. 328-351

- Peida Zhan, Wen-Chung Wang and Xiaomin Li
- Improving a Centroid-Based Clustering by Using Suitable Centroids from Another Clustering pp. 352-365

- Mohammad Rezaei
- Mixtures of Hidden Truncation Hyperbolic Factor Analyzers pp. 366-379

- Paula M. Murray, Ryan P. Browne and Paul D. McNicholas
- Classification for Time Series Data. An Unsupervised Approach Based on Reduction of Dimensionality pp. 380-398

- M. Isabel Landaluce-Calvo and Juan I. Modroño-Herrán
- Adjusting Person Fit Index for Skewness in Cognitive Diagnosis Modeling pp. 399-420

- Kevin Carl P. Santos, Jimmy Torre and Matthias Davier
- A Theoretical Analysis of the Peaking Phenomenon in Classification pp. 421-434

- Amin Zollanvari, Alex Pappachen James and Reza Sameni
- Suboptimal Comparison of Partitions pp. 435-461

- Jonathon J. O’Brien, Michael T. Lawson, Devin K. Schweppe and Bahjat F. Qaqish
- An Ensemble Feature Ranking Algorithm for Clustering Analysis pp. 462-489

- Jaehong Yu, Hua Zhong and Seoung Bum Kim
- Where Should I Submit My Work for Publication? An Asymmetrical Classification Model to Optimize Choice pp. 490-508

- A. Ferrer-Sapena, J. M. Calabuig, L. M. García Raffi and E. A. Sánchez Pérez
- A Modified k-Means Clustering Procedure for Obtaining a Cardinality-Constrained Centroid Matrix pp. 509-525

- Naoto Yamashita and Kohei Adachi
- Cluster Validation for Mixtures of Regressions via the Total Sum of Squares Decomposition pp. 526-547

- Salvatore Ingrassia and Antonio Punzo
Volume 37, issue 1, 2020
- Editorial: Journal of Classification Vol. 37-1 pp. 1-3

- Douglas L. Steinley
- Ordinal Forests pp. 4-17

- Roman Hornung
- A Hybrid Fuzzy Maintained Classification Method Based on Dendritic Cells pp. 18-41

- Zaineb Chelly Dagdia and Zied Elouedi
- Pointed Subspace Approach to Incomplete Data pp. 42-57

- Lukasz Struski, Marek Śmieja and Jacek Tabor
- Asking Infinite Voters ‘Who is a J?’: Group Identification Problems in ℕ$\mathbb {N}$ pp. 58-65

- Federico Fioravanti and Fernando Tohmé
- Binary Whale Optimization Algorithm and Binary Moth Flame Optimization with Clustering Algorithms for Clinical Breast Cancer Diagnoses pp. 66-96

- Gehad Ismail Sayed, Ashraf Darwish and Aboul Ella Hassanien
- Clustering Large Datasets by Merging K-Means Solutions pp. 97-123

- Volodymyr Melnykov and Semhar Michael
- Variable Selection for Mixed Data Clustering: Application in Human Population Genomics pp. 124-142

- Matthieu Marbac, Mohammed Sedki and Tienne Patin
- Core Clustering as a Tool for Tackling Noise in Cluster Labels pp. 143-157

- Renato Cordeiro Amorim, Vladimir Makarenkov and Boris Mirkin
- An Algorithm for Ordinal Classification Based on Pairwise Comparison pp. 158-179

- Yunli Yang, Baiyu Chen and Zhouwang Yang
- Clustering Analysis of a Dissimilarity: a Review of Algebraic and Geometric Representation pp. 180-202

- D. Fortin
- Totally Balanced Dissimilarities pp. 203-222

- François Brucker, Pascal Préa and Célia Châtel
- On Cesáro Averages for Weighted Trees in the Random Forest pp. 223-236

- Hieu Pham and Sigurður Olafsson
- A Nonparametric Estimator of Bivariate Quantile Residual Life Model with Application to Tumor Recurrence Data Set pp. 237-253

- M. Kayid, M. Shafaei Noughabi and A. M. Abouammoh
- Clique-Based Method for Social Network Clustering pp. 254-274

- Guang Ouyang, Dipak K. Dey and Panpan Zhang
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