Return
Data Skeleton Learning: Scalable active clustering with sparse graph structures
DOI:10.1016/j.patcog.2025.113018.png)
Abstract
En 中文
• A novel active learning framework for constrained clustering is proposed. • Two tailored spare graph structures are proposed for large data clustering. • A probabilistic analysis is done to establish the theoretical correctness.
Journal
IF:
7.6
Papers:
1.3W
Citations:
4.5W

