YAC2: An α-proximity based clustering algorithm
作者：
Highlights：
• A new clustering algorithm, YAC2, is proposed.
• YAC2 uses concepts of binning and α proximity to perform data clustering.
• The binning process performs data transformation while α proximity defines clusters.
• YAC2 defines its clusters dynamically when the number of clusters is undefined.
• YAC2 is validated using 5 datasets and is compared against 3 traditional algorithms.
摘要
•A new clustering algorithm, YAC2, is proposed.•YAC2 uses concepts of binning and α proximity to perform data clustering.•The binning process performs data transformation while α proximity defines clusters.•YAC2 defines its clusters dynamically when the number of clusters is undefined.•YAC2 is validated using 5 datasets and is compared against 3 traditional algorithms.
论文关键词：Clustering analysis,YAC2,Machine learning,Unsupervised algorithms
论文评审过程：Received 16 January 2020, Revised 19 September 2020, Accepted 17 October 2020, Available online 23 October 2020, Version of Record 10 February 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.114138
