Density Peaks Clustering Based on Potential Model and Diffusion Strength

Density Peaks Clustering Based on Potential Model and Diffusion Strength

Density peaks clustering (DPC) is a simple and efficient density-based clustering algorithm without complex iterative procedures. However, DPC needs to manually choose clustering centers via a decision graph, which often can’t identify real centers and breaks the continuous flow of the al...

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Bibliographic Details
Main Authors: Jing Che, Wenke Zang, Jingwen Xiong, Xiyu Liu
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Density peaks clustering
potential model
diffusion strength
center detection
Online Access:https://ieeexplore.ieee.org/document/9978604/

Internet

https://ieeexplore.ieee.org/document/9978604/

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