Adaptive Density Spatial Clustering Method Fusing Chameleon Swarm Algorithm

Adaptive Density Spatial Clustering Method Fusing Chameleon Swarm Algorithm

The density-based spatial clustering of application with noise (DBSCAN) algorithm is able to cluster arbitrarily structured datasets. However, the clustering result of this algorithm is exceptionally sensitive to the neighborhood radius (<i>Eps</i>) and noise points, and it is hard to ob...

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Bibliographic Details
Main Authors: Wei Zhou, Limin Wang, Xuming Han, Yizhang Wang, Yufei Zhang, Zhiyao Jia
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Entropy
Subjects:
adaptive clustering
DBSCAN
chameleon swarm algorithm
parameter optimization
image segmentation
Online Access:https://www.mdpi.com/1099-4300/25/5/782

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https://www.mdpi.com/1099-4300/25/5/782

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