Effective Density Peaks Clustering Algorithm Based on the Layered K-Nearest Neighbors and Subcluster Merging

Effective Density Peaks Clustering Algorithm Based on the Layered K-Nearest Neighbors and Subcluster Merging

Density peaks clustering (DPC) algorithm is a novel density-based clustering algorithm, which is simple and efficient, is not necessary to specify the number of clusters in advance, and can find any nonspherical class clusters. However, DPC relies heavily on the calculation methods of the cutoff dis...

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Bibliographic Details
Main Authors: Chunhua Ren, Linfu Sun, Yang Yu, Qishi Wu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Density peaks clustering
uneven density distribution
multiple peaks
k-nearest neighbors
shared neighbors
the law of gravitation
Online Access:https://ieeexplore.ieee.org/document/9129690/

Internet

https://ieeexplore.ieee.org/document/9129690/

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