Consensus Graph Learning for Multi-View Clustering

Multi-view clustering, which exploits the multi-view information to partition data into their clusters, has attracted intense attention. However, most existing methods directly learn a similarity graph from original multi-view features, which inevitably contain noises and redundancy information. The...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE transactions on multimedia Ročník 24; s. 2461 - 2472
Hlavní autori:	Li, Zhenglai, Tang, Chang, Liu, Xinwang, Zheng, Xiao, Zhang, Wei, Zhu, En
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Clustering Clustering methods consensus graph learning Correlation Embedding Feature extraction Machine learning Mathematical analysis Multi-view clustering Optimization Redundancy Similarity Streaming media Task analysis Tensors weighted tensor nuclear norm
ISSN:	1520-9210, 1941-0077
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!