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 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
Volume 36, issue 3, 2019
- Editorial: Journal of Classification Vol. 36-3 pp. 393-396

- Douglas L. Steinley
- Using an Iterative Reallocation Partitioning Algorithm to Verify Test Multidimensionality pp. 397-413

- Douglas L. Steinley and M. J. Brusco
- MCC: a Multiple Consensus Clustering Framework pp. 414-434

- Tao Li, Yi Zhang, Dingding Wang and Jian Xu
- Note: t for Two (Clusters) pp. 435-441

- Stanley L. Sclove
- The δ-Machine: Classification Based on Distances Towards Prototypes pp. 442-470

- Beibei Yuan, Willem Heiser and Mark Rooij
- A Framework for Quantifying Qualitative Responses in Pairwise Experiments pp. 471-492

- A. H. Al-Ibrahim
- Erratum to: A Framework for Quantifying Qualitative Responses in Pairwise Experiments pp. 493-493

- A. H. Al-Ibrahim
- A New Relationship Between Intuitionistic Fuzzy Sets and Genetics pp. 494-512

- M. Tahan and B. Davvaz
- Three-Way Symbolic Tree-Maps and Ultrametrics pp. 513-540

- Katharina T. Huber, Vincent Moulton and Guillaume E. Scholz
- Attribute Hierarchy Models in Cognitive Diagnosis: Identifiability of the Latent Attribute Space and Conditions for Completeness of the Q-Matrix pp. 541-565

- Hans-Friedrich Köhn and Chia-Yi Chiu
- A Note on Applying the BCH Method Under Linear Equality and Inequality Constraints pp. 566-575

- L. Boeschoten, M. A. Croon and D. L. Oberski
- Quantum-Behaved Particle Swarm Optimization for Parameter Optimization of Support Vector Machine pp. 576-598

- Alaa Tharwat and Aboul Ella Hassanien
- MDCGen: Multidimensional Dataset Generator for Clustering pp. 599-618

- Félix Iglesias, Tanja Zseby, Daniel Ferreira and Arthur Zimek
- Comparing the Utility of Different Classification Schemes for Emotive Language Analysis pp. 619-648

- Lowri Williams, Michael Arribas-Ayllon, Andreas Artemiou and Irena Spasić
- Card Sorting Data Collection Methodology: How Many Participants Is Most Efficient? pp. 649-658

- Ethan Lantz, Jared W. Keeley, Michael C. Roberts, Maria Elena Medina-Mora, Pratap Sharan and Geoffrey M. Reed
- Effects of Distance and Shape on the Estimation of the Piecewise Growth Mixture Model pp. 659-677

- Yuan Liu and Hongyun Liu
- Erratum to: Effects of Distance and Shape on the Estimation of the Piecewise Growth Mixture Model pp. 678-678

- Yuan Liu and Hongyun Liu
Volume 36, issue 2, 2019
- Editorial: Journal of Classification Vol. 36–2 pp. 175-176

- Douglas L. Steinley
- Exploratory Visual Inspection of Category Associations and Correlation Estimation in Multidimensional Subspaces pp. 177-199

- Se-Kang Kim and Joseph H. Grochowalski
- Hierarchies from Lowest Stable Ancestors in Nonbinary Phylogenetic Networks pp. 200-231

- Katharina T. Huber, Vincent Moulton and Taoyang Wu
- On Fractionally-Supervised Classification: Weight Selection and Extension to the Multivariate t-Distribution pp. 232-265

- Michael P. B. Gallaugher and Paul D. McNicholas
- On the Logistic Behaviour of the Topological Ultrametricity of Data pp. 266-276

- Patrick Erik Bradley
- Basic Co-Occurrence Latent Semantic Vector Space Model pp. 277-294

- Feng gao Niu
- Conditional Independence and Dimensionality of Cognitive Diagnostic Models: a Test for Model Fit pp. 295-305

- Youn Seon Lim and Fritz Drasgow
- A Reliable Small Sample Classification Algorithm by Elman Neural Network Based on PLS and GA pp. 306-321

- Weikuan Jia, Dean Zhao, Ling Ding and Yuanjie Zheng
- Modeling Community Structure and Topics in Dynamic Text Networks pp. 322-349

- Teague R. Henry, David Banks, Derek Owens-Oas and Christine Chai
- Distance and Consensus for Preference Relations Corresponding to Ordered Partitions pp. 350-367

- Boris Mirkin and Trevor I. Fenner
- Multiscale Clustering for Functional Data pp. 368-391

- Yaeji Lim, Hee-Seok Oh and Ying Kuen Cheung
Volume 36, issue 1, 2019
- Editorial: Journal of Classification Vol 36-1 pp. 1-2

- Douglas L. Steinley
- Growth Mixture Modeling with Measurement Selection pp. 3-25

- Abby Flynt and Nema Dean
- A Mixture of Coalesced Generalized Hyperbolic Distributions pp. 26-57

- Cristina Tortora, Brian C. Franczak, Ryan P. Browne and Paul D. McNicholas
- Comparison of Similarity Measures for Categorical Data in Hierarchical Clustering pp. 58-72

- Zdeněk Šulc and Hana Řezanková
- Simultaneous Method of Orthogonal Non-metric Non-negative Matrix Factorization and Constrained Non-hierarchical Clustering pp. 73-93

- Kensuke Tanioka and Hiroshi Yadohisa
- Optimal Landmark Point Selection Using Clustering for Manifold Modeling and Data Classification pp. 94-112

- Manazhy Rashmi and Praveen Sankaran
- Robustification of Gaussian Bayes Classifier by the Minimum β-Divergence Method pp. 113-139

- Md. Matiur Rahaman and Md. Nurul Haque Mollah
- Multiclass Classification Based on Multi-criteria Decision-making pp. 140-151

- Hossein Baloochian and Hamid Reza Ghaffary
- A New Method for Classifying Random Variables Based on Support Vector Machine pp. 152-174

- Maryam Abaszade and Sohrab Effati
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