Bilgin, T. T.Camurcu, Yılmaz2024-07-122024-07-1220051302-09002147-9429https://hdl.handle.net/20.500.12415/6773DBSCAN and OPTICS are two recent clustering algorithms on data mining. In this study, these two algorithms and K-means which is one of the oldest clustering algorithms are compared. Comparison is based on cluster discovery performance on synthetic database. Consequently, two recent clustering algorithms DBSCAN and OPTICS are performed superior accuracy and cluster discovery ability over K-means algorithm.trinfo:eu-repo/semantics/closedAccessData MiningClustering AnalysisDbscanOpticsK-MeansArticle14521398WOS:000447756900003N/A