Convex clustering with metric learning

作者：

Highlights：

• A novel convex clustering with metric learning approach is proposed.

• The convex clustering with distance metric problem is solved using an Alternating Direction Method of Multipliers (ADMM).

• Shows that convex clustering and metric learning can be done iteratively and improve results of clustering solutions.

• Numerical experiments show that metric learning can improve the results of convex clustering significantly.

摘要

•A novel convex clustering with metric learning approach is proposed.•The convex clustering with distance metric problem is solved using an Alternating Direction Method of Multipliers (ADMM).•Shows that convex clustering and metric learning can be done iteratively and improve results of clustering solutions.•Numerical experiments show that metric learning can improve the results of convex clustering significantly.

论文关键词：Convex clustering,Alternating Direction Method of Multipliers,Metric learning,Unsupervised learning

论文评审过程：Received 20 September 2017, Revised 6 February 2018, Accepted 19 April 2018, Available online 21 April 2018, Version of Record 16 May 2018.

论文官网地址：https://doi.org/10.1016/j.patcog.2018.04.019