A novel Chinese herbal medicine clustering algorithm via artificial bee colony optimization

作者：

Highlights：

• Artificial bee colony algorithm by applying a new searching strategy of neighbor nectar.

• Employing the improved artificial bee colony algorithm to optimize the parameters of the cutoff distance, the local density and the minimum distance.

• Clustering herbal medicines by automatically selecting cluster centers.

摘要

•Artificial bee colony algorithm by applying a new searching strategy of neighbor nectar.•Employing the improved artificial bee colony algorithm to optimize the parameters of the cutoff distance, the local density and the minimum distance.•Clustering herbal medicines by automatically selecting cluster centers.

论文关键词：Artificial bee colony,Cluster analysis,Parameter optimization,Traditional Chinese medicine,Applied intelligence

论文评审过程：Received 3 September 2018, Revised 8 October 2019, Accepted 6 November 2019, Available online 10 November 2019, Version of Record 18 November 2019.

论文官网地址：https://doi.org/10.1016/j.artmed.2019.101760