Diverse representation-guided graph learning for multi-view metric clustering

Multi-view graph clustering has garnered tremendous interest for its capability to effectively segregate data by harnessing information from multiple graphs representing distinct views. Despite the advances, conventional methods commonly construct similarity graphs straightway from raw features, lea...

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Bibliographic Details

Published in:	Journal of King Saud University: Computer and Information Sciences
Main Authors:	Xiaoshuang Sang, Yang Zou, Feng Li, Ranran He
Format:	Article
Language:	English
Published:	Springer 2024-09-01
Subjects:	Multi-view clustering Diverse representation learning Consensus graph learning Linearity-aware metric learning Laplacian rank constraint
Online Access:	http://www.sciencedirect.com/science/article/pii/S1319157824002180