Community Detection and Visualization in Complex Network by the Density-Canopy-Kmeans Algorithm and MDS Embedding

Community Detection and Visualization in Complex Network by the Density-Canopy-Kmeans Algorithm and MDS Embedding

With the increasing availability of social networks and biological networks, detecting network community structure has become more and more important. However, most traditional methods for detecting community structure have limitations in dimension reduction or parameter optimization. In this paper,...

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Bibliographic Details
Main Authors: Manzhi Li, Hongtao Wang, Haixia Long, Ju Xiang, Bo Wang, Junlin Xu, Jialiang Yang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Network
community detection
the Density-Canopy-Kmeans clustering algorithm
MDS
Online Access:https://ieeexplore.ieee.org/document/8807341/

Internet

https://ieeexplore.ieee.org/document/8807341/

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