Multi-View Spectral Clustering via Integrating Global and Local Graphs

Multi-View Spectral Clustering via Integrating Global and Local Graphs

Robust multi-view spectral clustering (RMSC) minimizes the rank of probability matrix to recover a common transition probability matrix from the matrices calculated by each single view and achieves promising performance. However, for the clustering task, the underlying structure of the low-rank prob...

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Bibliographic Details
Main Authors: Deyan Xie, Quanxue Gao, Qianqian Wang, Song Xiao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Multi-view
spectral clustering
local graph
global graph
target rank
Online Access:https://ieeexplore.ieee.org/document/8610108/

Internet

https://ieeexplore.ieee.org/document/8610108/

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