Multi-Prototypes Representation Learning for Contrastive Clustering

doi:10.1016/j.patrec.2026.03.001

2026-03-05

PRE

DOI：10.1016/j.patrec.2026.03.001

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摘要

En 中文

• 提出了一种对比聚类方法以减少较差相似度的影响； • 提出了一种原型生成模块以获取每个聚类的原型； • 提出了一种相似度关系构建模块以学习更优的相似度。

Keyword:

contrastive clustering

prototype generation

similarity learning

representation learning

期刊

Pattern Recognition Letters

IF:

3.3

论文数:

8.0K

被引数:

1.6W

机构

shanxi university

学者数:

1.3K

论文数: 456

被引数: 0

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