Abstract:Aiming at the shortcomings of fuzzy C-means clustering analysis (FCM), which is easy to fall into the local minimum, and the sensitivity to the initial clustering center, this paper firstly used a density-based DBSCAN algorithm (ST-DBSCAN) to determine the number of clusters by calculating the distance and density between data. At the same time, based on the genetic simulated annealing algorithm (SAGA), this paper proposed a clustering analysis based on multi-population genetic simulated annealing algorithm. F… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.