Three-ways DBSCAN algorithm based on outlier detection and adaptive parameters

Li Zhicong
Sun Xuyang
School of Computer Science & Information Engineering, Harbin Normal University, Harbin 150025, China

Abstract

Aiming at the problems of the classical DBSCAN algorithm that it is difficult to determine the global optimal parameters and misjudge the outliers, the algorithm firstly starts from the perspective of selecting the optimal parameters, generates the Eps list and the MinPts list by the distribution characteristics of the data set, and then carries out the full combination operation of the parameters in the two lists, and then performs the clustering of the different combinations of the parameters in order, so as to search for the parameter corresponding to the point of the highest accuracy rate. Finally, from the perspective of outlier, the three-branch decision-making idea is combined with the outlier detection LOF algorithm. This algorithm is compared and analysed with a variety of clustering algorithms, and the results show that this algorithm can achieve the fully automated selection of the global optimal parameters as well as improve the accuracy of the clustering algorithm.

Foundation Support

哈尔滨师范大学双一流-提高人才培养质量项目(1504120015)
哈尔滨师范大学计算机科学与信息工程学院教育教学改革项目(JKYJGY202205)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.11.0569
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 7

Publish History

[2024-01-31] Accepted Paper

Cite This Article

李志聪, 孙旭阳. 基于离群点检测和自适应参数的三支DBSCAN算法 [J]. 计算机应用研究, 2024, 41 (7). (2024-04-10). https://doi.org/10.19734/j.issn.1001-3695.2023.11.0569. (Li Zhicong, Sun Xuyang. Three-ways DBSCAN algorithm based on outlier detection and adaptive parameters [J]. Application Research of Computers, 2024, 41 (7). (2024-04-10). https://doi.org/10.19734/j.issn.1001-3695.2023.11.0569. )

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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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