Improvement of DBSCAN Algorithm Based on <i>K</i>-Dist Graph for Adaptive Determining Parameters

Improvement of DBSCAN Algorithm Based on <i>K</i>-Dist Graph for Adaptive Determining Parameters

For the shortcomings of an unstable clustering effect and low accuracy caused by the manual setting of the two parameters <i>Eps</i> and <i>MinPts</i> of the DBSCAN (density-based spatial clustering of applications with noise) algorithm, this paper proposes an adaptive determ...

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Bibliographic Details
Main Authors: Lifeng Yin, Hongtao Hu, Kunpeng Li, Guanghai Zheng, Yingwei Qu, Huayue Chen
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Electronics
Subjects:
DBSCAN algorithm
adaptive parameter
<i>K</i>-dist graph
noise reduction threshold
parameter optimization
Online Access:https://www.mdpi.com/2079-9292/12/15/3213

Internet

https://www.mdpi.com/2079-9292/12/15/3213

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