Consensus clustering algorithm based on the automatic partitioning similarity graph

作者：

Highlights：

• The proposed algorithm is able to find the number of original clusters most of the time.

• The proposed algorithm is not affected by the outlier.

• The algorithm finds outlier points automatically.

• The algorithm obtains final clusters automatically.

摘要

•The proposed algorithm is able to find the number of original clusters most of the time.•The proposed algorithm is not affected by the outlier.•The algorithm finds outlier points automatically.•The algorithm obtains final clusters automatically.

论文关键词：Data clustering,Clustering ensemble,Consensus clustering,Automatic partitioning similarity graph

论文评审过程：Received 28 September 2018, Revised 28 August 2019, Accepted 2 October 2019, Available online 9 October 2019, Version of Record 19 November 2019.

论文官网地址：https://doi.org/10.1016/j.datak.2019.101754