Entropy based probabilistic collaborative clustering

作者：

Highlights：

• A new collaborative framework is proposed for unsupervised learning.

• This framework allows algorithms of different families to work together.

• The collaboration process relies on the solutions matrices and their diversity.

• The convergence of the method is proved using variational EM.

摘要

•A new collaborative framework is proposed for unsupervised learning.•This framework allows algorithms of different families to work together.•The collaboration process relies on the solutions matrices and their diversity.•The convergence of the method is proved using variational EM.

论文关键词：Collaborative clustering,EM algorithms,Entropy based methods

论文评审过程：Received 17 December 2016, Revised 24 April 2017, Accepted 8 July 2017, Available online 10 July 2017, Version of Record 14 July 2017.

论文官网地址：https://doi.org/10.1016/j.patcog.2017.07.014