SGAE: Stacked Graph Autoencoder for Deep Clustering

Unsupervised clustering is a crucial issue in data mining and pattern recognition. Based on deep learning paradigms, deep clustering algorithms have been studied extensively and obtained superior performance in various applications. However, most of previous methods did not use helpful information f...

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Veröffentlicht in:	IEEE transactions on big data 2023-02, Vol.9 (1), p.254-266
Hauptverfasser:	Xiao, Shunxin, Wang, Shiping, Guo, Wenzhong
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Big Data Clustering Clustering algorithms Convolution Data mining Deep learning deep unsupervised learning graph convolution Machine learning Message passing Multilayers Pattern recognition stacked graph autoencoder Task analysis Training Unsupervised learning
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