Deep Multiple Auto-Encoder-Based Multi-view Clustering

Multi-view clustering (MVC), which aims to explore the underlying structure of data by leveraging heterogeneous information of different views, has brought along a growth of attention. Multi-view clustering algorithms based on different theories have been proposed and extended in various application...

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Vydáno v:	Data Science and Engineering Ročník 6; číslo 3; s. 323 - 338
Hlavní autoři:	Du, Guowang, Zhou, Lihua, Yang, Yudi, Lü, Kevin, Wang, Lizhen
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Singapore Springer Singapore 01.09.2021 Springer Springer Nature B.V
Témata:	Algorithm Analysis and Problem Complexity Algorithms Analysis Artificial Intelligence Chemistry and Earth Sciences Clustering Coders Computer Science Data Mining and Knowledge Discovery Database Management Physics Representations Statistics for Engineering Systems and Data Security Multi-view Clustering Local geometrical information Auto-encoder Consistent information Complementary information
ISSN:	2364-1185, 2364-1541
On-line přístup:	Získat plný text
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