Journal of Classification

1984 - 2025

Current editor(s): Douglas Steinley

From:
Springer
The Classification Society
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Volume 42, issue 2, 2025

Editorial: Journal of Classification Vol. 42-2 pp. 283-283

Paul D. McNicholas

Studying Hierarchical Latent Structures in Heterogeneous Populations with Missing Information pp. 284-310

Francesca Greselin and Giorgia Zaccaria

Mixed-Type Distance Shrinkage and Selection for Clustering via Kernel Metric Learning pp. 311-334

Jesse S. Ghashti and John R. J. Thompson

Vine Copula-Based Classifiers with Applications pp. 335-363

Özge Şahin and Harry Joe

Old but Gold or New and Shiny? Comparing Tree Ensembles for Ordinal Prediction with a Classic Parametric Approach pp. 364-390

Philip Buczak, Daniel Horn and Markus Pauly

Two-Group k-Adic Similarity Coefficients for Binary Classifiers pp. 391-413

Perišić Ana and Vanbelle Sophie

A Storage and Classification Algorithm for Concept Drift Data Streams Based on OS-ELM pp. 414-434

Ying Mei, Chengbo Lu, Chenghao Tang, Yonghua Wu and Guoqing Meng

Torus Probabilistic Principal Component Analysis pp. 435-456

Anahita Nodehi, Mousa Golalizadeh, Mehdi Maadooliat and Claudio Agostinelli

Identifying Effective Algorithms and Measures for Enhanced Clustering Quality: A Comprehensive Examination of Arbitrary Decisions in Hierarchical Clustering Algorithms pp. 457-489

Rashid Behzadidoost and Habib Izadkhah

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