.png){kind=icon}
返回
Contrastive self-representation learning for data clustering
.png){kind=icon}
PRE
AI
DOI：10.1016/j.neunet.2023.08.050.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper is concerned with self-representation subspace learning. It is one of the most representative subspace techniques, which has attracted considerable attention for clustering due to its good performance. Among these methods, low-rank representation (LRR) has achieved impressive results for subspace clustering. However, it only considers the similarity between the data itself, while neglecting the differences with other samples. Besides, it cannot well deal with noise and portray cluster-to -cluster relationships well. To solve these problems, we propose a Contrastive Self-representation model for Clustering (CSC). CSC simultaneously takes into account the similarity/dissimilarity between positive/negative pairs when learning the self-representation coefficient matrix of data while the form of the loss function can reduce the effect of noise on the results. Moreover, We use the l1,2- norm regularizer on the coefficient matrix to achieve its sparsity to better characterize the cluster structure. Thus, the learned self-representation coefficient matrix well encodes both the discriminative information and cluster structure. Extensive experiments on seven benchmark databases indicate the superiority of our proposed method.(c) 2023 Elsevier Ltd. All rights reserved.
Keyword:
Self-representation
Contrastive learning
Subspace clustering
期刊
IF:
6.3
论文数:
8.3K
被引数:
3.0W
机构
引用论文
Ability of troponin I to predict cardiac events in patients admitted from the emergency department
PREAI
分享收藏
Double structure scaled simplex representation for multi-view subspace clustering.png)
NEURAL NETWORKS
NEURAL NETWORKSIF6.3
PREAI
分享收藏Economic benefit evaluation method for the micro-grid renewable energy system operation微网可再生能源系统运行经济效益评价方法
PREAI
分享收藏Tinnitus Retraining Therapy (TRT) as a Method for Treatment of Tinnitus and Hyperacusis Patients耳鸣再训练疗法 (TRT) 作为治疗耳鸣和高亢患者的方法
PREAI
分享收藏分享收藏
查看更多内容