A new deep sparse autoencoder for community detection in complex networks

A new deep sparse autoencoder for community detection in complex networks

Abstract Feature dimension reduction in the community detection is an important research topic in complex networks and has attracted many research efforts in recent years. However, most of existing algorithms developed for this purpose take advantage of classical mechanisms, which may be long experi...

Bibliografske podrobnosti
Main Authors:	Rong Fei, Jingyuan Sha, Qingzheng Xu, Bo Hu, Kan Wang, Shasha Li
Format:	Article
Jezik:	English
Izdano:	SpringerOpen 2020-05-01
Serija:	EURASIP Journal on Wireless Communications and Networking
Teme:	Community detection Deep sparse autoencoder RSSI
Online dostop:	http://link.springer.com/article/10.1186/s13638-020-01706-4

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