Mutual-neighbor-based debiased contrastive clustering

Chen Junyi
Jia Hongjie
School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang 212013, Jiangsu, China

Abstract

The performance of contrastive clustering depends on the quality of positive and negative sample pair construction. Insufficient or inappropriate positive samples may lead to intra-class dispersion, while inaccurate negative sampling can weaken inter-class separability. To address this issue, a mutual-neighbor-based debiased contrastive clustering algorithm was proposed. The method used the k-nearest neighbors (KNN) mechanism to expand the set of positive samples and adopted a mutual KNN constraint to ensure bidirectional consistency of neighbor relationships. Jaccard similarity performed topological consistency filtering to remove semantically or structurally mismatched sample pairs. Based on the constructed neighbors, the algorithm employed weak–strong joint augmentation to enhance consistency and introduced a bias correction mechanism in the contrastive loss to reduce the influence of false negatives. Experimental results on CIFAR-10, STL-10 and other benchmark datasets show that the proposed method significantly improves the clustering accuracy and relatewd metrics compared with several representative methods, which verifies the effectiveness and superiority of the proposed method.

Foundation Support

国家重点研发计划项目(2024YFD2000804)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.11.0450
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 7

Publish History

[2026-03-18] Accepted Paper

Cite This Article

陈俊仪, 贾洪杰. 基于互邻结构的降偏对比聚类方法 [J]. 计算机应用研究, 2026, 43 (7). (2026-03-24). https://doi.org/10.19734/j.issn.1001-3695.2025.11.0450. (Chen Junyi, Jia Hongjie. Mutual-neighbor-based debiased contrastive clustering [J]. Application Research of Computers, 2026, 43 (7). (2026-03-24). https://doi.org/10.19734/j.issn.1001-3695.2025.11.0450. )

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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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