KdMutual: A novel clustering algorithm combining mutual neighboring and hierarchical approaches using a new selection criterion

作者：

Highlights：

• This paper proposes a novel clustering algorithm based on mutual neighbor.

• It includes several mechanisms to address cluster cores rather than frontiers.

• It can address complex shapes while being resistant to noise and partial overlapping.

• Performance is assessed using data with known ground truth.

摘要

•This paper proposes a novel clustering algorithm based on mutual neighbor.•It includes several mechanisms to address cluster cores rather than frontiers.•It can address complex shapes while being resistant to noise and partial overlapping.•Performance is assessed using data with known ground truth.

论文关键词：Clustering,Mutual neighbors,Agglomerative,Dissimilarity,Density

论文评审过程：Received 9 November 2019, Revised 4 July 2020, Accepted 6 July 2020, Available online 10 July 2020, Version of Record 13 July 2020.

论文官网地址：https://doi.org/10.1016/j.knosys.2020.106220