Efficient Clustering Method Based on Density Peaks With Symmetric Neighborhood Relationship

Efficient Clustering Method Based on Density Peaks With Symmetric Neighborhood Relationship

The density peaks clustering (DPC) is a clustering method proposed by Rodriguez and Laio (Science, 2014), which sets up a decision graph to identify the cluster centers of data points. Because the improper selection of its parameter cut-off distance will lead to the wrong selection of initial cluste...

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Bibliographic Details
Main Authors: Chunrong Wu, Jia Lee, Teijiro Isokawa, Jun Yao, Yunni Xia
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Clustering
symmetric neighborhood
reverse <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">k</italic>-nearest neighbors
density peaks clustering
Online Access:https://ieeexplore.ieee.org/document/8695694/

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https://ieeexplore.ieee.org/document/8695694/

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