A projection-based split-and-merge clustering algorithm

作者：

Highlights：

• Sufficient dimension-reduction through projecting sample points on a line.

• Split or merge clusters according to the density curve of the projection points.

• Use split-and-merge process to adaptively give a certain number of clusters.

摘要

•Sufficient dimension-reduction through projecting sample points on a line.•Split or merge clusters according to the density curve of the projection points.•Use split-and-merge process to adaptively give a certain number of clusters.

论文关键词：Split-and-merge,Projection,K-means,Density curve

论文评审过程：Received 14 May 2018, Revised 7 September 2018, Accepted 8 September 2018, Available online 8 September 2018, Version of Record 15 September 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.09.018