Sparse Subspace Clustering for Stream Data

Sparse Subspace Clustering for Stream Data

In the past few years, sparse subspace clustering (SSC) has gained many studies and found wide applications. However, SSC suffers from the limitation in scalability. Furthermore, current SSC methods could hardly tackle stream data where the structure of subspaces may change along time. In this paper...

Full description

Bibliographic Details
Main Authors: Ken Chen, Yong Tang, Long Wei, Pengfei Wang, Yong Liu, Zhongming Jin
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Clustering algorithms
sparse subspace clustering
stream data
Online Access:https://ieeexplore.ieee.org/document/9404888/

Internet

https://ieeexplore.ieee.org/document/9404888/

Similar Items