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ORCIDJournal of Classification, Volume 42
Volume 42, Number 1, March 2025
- Paul D. McNicholas:
Editorial: Journal of Classification Vol. 42-1. 1 - Marek Gagolewski
:
Normalised Clustering Accuracy: An Asymmetric External Cluster Validity Measure. 2-30 - Salvatore D. Tomarchio, Antonio Punzo, Johannes T. Ferreira, Andriëtte Bekker:
A New Look at the Dirichlet Distribution: Robustness, Clustering, and Both Together. 31-53 - Fabian Kächele, Nora Schneider:
Cluster Validation Based on Fisher's Linear Discriminant Analysis. 54-71 - Hai-Bing Sun, Yan-Fei Jing, Xiao-Wen Xu:
A New Matrix Feature Selection Strategy in Machine Learning Models for Certain Krylov Solver Prediction. 72-89 - Marek Gagolewski, Anna Cena, Maciej Bartoszuk, Lukasz Brzozowski:
Clustering with Minimum Spanning Trees: How Good Can It Be? 90-112 - Alexa A. Sochaniwsky, Michael P. B. Gallaugher, Yang Tang, Paul D. McNicholas:
Flexible Clustering with a Sparse Mixture of Generalized Hyperbolic Distributions. 113-133 - Rajesh Ranjan, Jitender Kumar Chhabra:
An Effective Crow Search Algorithm and Its Application in Data Clustering. 134-162 - Jun Ye, Kaiqian Du, Shigui Du, Rui Yong:
Slope Stability Classification Model Based on Single-Valued Neutrosophic Matrix Energy and Its Application Under a Single-Valued Neutrosophic Matrix Scenario. 163-180 - Zhen Jiang, Lingyun Zhao, Yu Lu:
Combining Semi-supervised Clustering and Classification Under a Generalized Framework. 181-204 - Haixia Zhao, Jian Wu:
Clustering-Based Oversampling Algorithm for Multi-class Imbalance Learning. 205-220 - Qi Liu, Wenxin Zhu, Zhengming Dai, Zhihong Ma:
Multi-task Support Vector Machine Classifier with Generalized Huber Loss. 221-252 - Beniamino Cappelletti-Montano, Gianmarco Cherchi, Benedetto Manca, Stefano Montaldo, Monica Musio:
How to Measure the Researcher Impact with the Aid of its Impactable Area: A Concrete Approach Using Distance Geometry. 253-281
Volume 42, Number 2, July 2025
- Paul D. McNicholas:
Editorial: Journal of Classification Vol. 42-2. 283 - Francesca Greselin, Giorgia Zaccaria:
Studying Hierarchical Latent Structures in Heterogeneous Populations with Missing Information. 284-310 - Jesse S. Ghashti, John R. J. Thompson:
Mixed-Type Distance Shrinkage and Selection for Clustering via Kernel Metric Learning. 311-334 - Özge Sahin, Harry Joe:
Vine Copula-Based Classifiers with Applications. 335-363 - Philip Buczak, Daniel Horn, Markus Pauly:
Old but Gold or New and Shiny? Comparing Tree Ensembles for Ordinal Prediction with a Classic Parametric Approach. 364-390 - Ana Perisic, Sophie Vanbelle:
Two-Group k-Adic Similarity Coefficients for Binary Classifiers. 391-413 - Ying Mei, Chengbo Lu, Chenghao Tang, Yonghua Wu, Guoqing Meng:
A Storage and Classification Algorithm for Concept Drift Data Streams Based on OS-ELM. 414-434 - Anahita Nodehi, Mousa Golalizadeh, Mehdi Maadooliat, Claudio Agostinelli:
Torus Probabilistic Principal Component Analysis. 435-456 - Rashid Behzadidoost, Habib Izadkhah:
Identifying Effective Algorithms and Measures for Enhanced Clustering Quality: A Comprehensive Examination of Arbitrary Decisions in Hierarchical Clustering Algorithms. 457-489
Volume 42, Number 3, November 2025
- Paul D. McNicholas:
Editorial: Journal of Classification Vol. 42-3. 491 - Dalila Failli, Maria Francesca Marino, Francesca Martella:
A Novel Approach for Biclustering Bipartite Networks: An Extension of Finite Mixtures of Latent Trait Analyzers. 492-516 - Michael J. Zellinger, Peter Bühlmann:
Natural Language-Based Synthetic Data Generation for Cluster Analysis. 517-543 - Shuchismita Sarkar, Volodymyr Melnykov:
Detecting Anomalies in European Trade Data Using Directed Weighted Multilayer Dynamic Networks. 544-564 - Heng-Hui Lue:
Curve Clustering via Pairwise Directions Estimation. 565-595 - Mehmet Ünver:
Gaussian Aggregation Operators and Applications to Intuitionistic Fuzzy Classification. 596-623 - Patrick Erik Bradley:
On the Local Ultrametricity of Finite Metric Data. 624-638 - Etienne Pieter van de Bijl, Jan Gerard Klein, Joris Pries, Sandjai Bhulai, Robert Douwe van der Mei:
The Dutch Scaler Performance Indicator: How Much Did My Model Actually Learn? 639-659 - Yunbi Nam, Sunwoo Han:
Random Forest Variable Importance-Based Selection Algorithm in Class Imbalance Problem. 660-673 - Fernando Delbianco, Fernando Tohmé:
Identifying Highly Relevant Entries in Datasets: A Relevance-Based Classification. 674-694
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