Robust anchor-based multi-view clustering via spectral embedded concept factorization

Robust anchor-based multi-view clustering via spectral embedded concept factorization

Multi-view clustering (MVC) often provides superior effectiveness to single-view clustering due to the integration of information from diverse views. Nonetheless, existing MVC methods are limited to large-scale real-world data by the drawbacks of low efficiency and poor robustness. To address these...

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Bibliographic Details
Main Authors: Yang, Ben, Wu, Jinghan, Zhang, Xuetao, Lin, Zhiping, Nie, Feiping, Chen, Badong
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2023
Subjects:
Engineering::Electrical and electronic engineering
Multi-View Clustering
Concept Factorization
Online Access:https://hdl.handle.net/10356/172859

Internet

https://hdl.handle.net/10356/172859

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