BDT-ADBSCAN: Adaptive Density-Based Spatial Clustering of Applications with Noise Based on Bayesian Decision Theory for Identifying Clusters with Multi-Densities
Author:
Affiliation:
1. College of Computer Science and Technology, Chongqing University of Posts and Telecommunications
2. College of Economics and Management, Chongqing University of Posts and Telecommunications,Chongqing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9836326/9836330/09836545.pdf?arnumber=9836545
Reference19 articles.
1. ST-DBSCAN: An algorithm for clustering spatial–temporal data
2. Research and Application of Clustering Algorithm Based on DBSCAN[J];zhenhua;Jiangnan University,2016
3. SA-DBSCAN: A self-adaptive density-based clustering algorithm[J];lu-ning;Journal of University of Chinese Academy of Sciences,2009
4. Adaptive DBSCAN-based algorithm for constellation reconstruction and modulation identification
5. Varied density clustering algorithm based on border point detection[J];yan-wei;Journal of Computer Applications,2022
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