Junxian Chen

EvoS&R: Evolving Multiple Seeds and Radii for Varying Density Data Clustering

2023 · IEEE Transactions on Knowledge and Data Engineering

Density clustering has shown advantages over other types of clustering methods for processing arbitrarily shaped datasets. In recent years, extensive research efforts has been made on the improvements of DBSCAN or the algorithms incorporating the …