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ORCIDJournal of Classification, Volume 41
Volume 41, Number 1, March 2024
- Paul D. McNicholas:
Editorial: Journal of Classification Vol. 41-1. 1 - Måns Karlsson, Ola Hössjer
:
Classification Under Partial Reject Options. 2-37 - Måns Karlsson, Ola Hössjer:
Erratum: Classification Under Partial Reject Options. 38 - Jason Hou-Liu, Ryan P. Browne:
Model-Based Clustering with Nested Gaussian Clusters. 39-64 - Paul McLaughlin, Brian C. Franczak, Adam B. Kashlak:
Unsupervised Classification with a Family of Parsimonious Contaminated Shifted Asymmetric Laplace Mixtures. 65-93 - Youn Seon Lim:
Nonparametric Cognitive Diagnosis When Attributes Are Polytomous. 94-128 - Keding Chen, Yong Peng, Feiping Nie, Wanzeng Kong:
Soft Label Guided Unsupervised Discriminative Sparse Subspace Feature Selection. 129-157 - Aboubacry Gaye, Abdou Kâ Diongue, Seydou Nourou Sylla, Maryam Diarra, Amadou Diallo, Cheikh Talla, Cheikh Loucoubar:
Supervised Classification of High-Dimensional Correlated Data: Application to Genomic Data. 158-169 - Ji Hyun Nam, Jongmin Mun, Seongil Jo, Jaeoh Kim:
Prediction of Forest Fire Risk for Artillery Military Training using Weighted Support Vector Machine for Imbalanced Data. 170-189 - Mark de Rooij, Frank M. T. A. Busing:
Multinomial Restricted Unfolding. 190-213
Volume 41, Number 2, July 2024
- Paul D. McNicholas:
Editorial: Journal of Classification Vol. 41-2. 215 - Hema Banati, Richa Sharma, Asha Yadav:
Binary Peacock Algorithm: A Novel Metaheuristic Approach for Feature Selection. 216-244 - Reza Mortazavi, Elham Enayati, Abdolali Basiri:
Accelerated Sequential Data Clustering. 245-263 - Mohammed Sabri, Rosanna Verde, Antonio Balzanella, Fabrizio Maturo, Hamid Tairi, Ali Yahyaouy, Jamal Riffi:
A Novel Classification Algorithm Based on the Synergy Between Dynamic Clustering with Adaptive Distances and K-Nearest Neighbors. 264-288 - Shiqi Wu, Hualong Yu, Yan Gu, Changbin Shao, Shang Gao:
SNN-PDM: An Improved Probability Density Machine Algorithm Based on Shared Nearest Neighbors Clustering Technique. 289-312 - Katharine M. Clark, Paul D. McNicholas:
Finding Outliers in Gaussian Model-based Clustering. 313-337 - Preeti, Kusum Deep:
Density Peak Clustering Using Grey Wolf Optimization Approach. 338-370 - Yu Fei, Rongli Li, Zhouhong Li, Guoqi Q. Qian:
Clustering Longitudinal Data for Growth Curve Modelling by Gibbs Sampler and Information Criterion. 371-401 - William Cullerne Bown:
Sensitivity and Specificity versus Precision and Recall, and Related Dilemmas. 402-426
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