Density Peaks Clustering Based on Weighted Local Density Sequence and Nearest Neighbor Assignment

Density Peaks Clustering Based on Weighted Local Density Sequence and Nearest Neighbor Assignment

Density peaks clustering (DPC) is a density-based clustering algorithm with excellent clustering performance including accuracy, automatically detecting the number of clusters, and identifying center points. However, the local density of DPC strongly depends on the cutoff distance which must be pres...

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Bibliographic Details
Main Authors: Donghua Yu, Guojun Liu, Maozu Guo, Xiaoyan Liu, Shuang Yao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Cluster analysis
density peaks
K-nearest neighbors
local density
nearest neighbor dynamic table
Online Access:https://ieeexplore.ieee.org/document/8665962/

Internet

https://ieeexplore.ieee.org/document/8665962/

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