Structured Sparse Subspace Clustering with Within-Cluster Grouping

作者：

Highlights：

• We define a concept of GEWC to group data from the same subspace together and design a new regularization term to enforce it.

• Incorporating the new penalty into SSSC, we present a new unified frame work for affinity learning and subspace clustering.

• Experimental results show that our method outperforms other state-of-the-art methods in revealing subspace structure of data.

摘要

•We define a concept of GEWC to group data from the same subspace together and design a new regularization term to enforce it.•Incorporating the new penalty into SSSC, we present a new unified frame work for affinity learning and subspace clustering.•Experimental results show that our method outperforms other state-of-the-art methods in revealing subspace structure of data.

论文关键词：Subspace clustering,Grouping-effect-within-clusters,Affinity matrix learning

论文评审过程：Received 12 April 2017, Revised 17 February 2018, Accepted 20 May 2018, Available online 22 May 2018, Version of Record 30 May 2018.

论文官网地址：https://doi.org/10.1016/j.patcog.2018.05.020