Discriminative clustering using regularized subspace learning
作者：
Highlights：
• A regularized subspace learning method for discriminative clustering is proposed.
• A similarity-based subspace learning formulation is used for the optimization.
• Robust representations optimized for clustering tasks are learned.
• The proposed method is extensively evaluated using four datasets.
摘要
•A regularized subspace learning method for discriminative clustering is proposed.•A similarity-based subspace learning formulation is used for the optimization.•Robust representations optimized for clustering tasks are learned.•The proposed method is extensively evaluated using four datasets.
论文关键词：Discriminative clustering,Subspace learning,Unsupervised learning
论文评审过程：Received 7 April 2018, Revised 3 May 2019, Accepted 21 July 2019, Available online 22 July 2019, Version of Record 26 July 2019.
论文官网地址：https://doi.org/10.1016/j.patcog.2019.106982
