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Article · Journal · 2022

Robust Spectral Clustering via Low-Rank Sample Representation

Hao Liang, Hai-Tang Guan, Stanley Ebhohimhen Abhadiomhen, Li Yan

Applied Computational Intelligence and Soft Computing

Open access · Gold
International · 2 countries

Read it 10.1155/2022/7540956

Citations: 3from other works
Field-weighted impact: 0.421.00 is the world average for its field and year
Among its field: 47th percentileby citations, against works of its field and year
Authors: 4from 2 institutions

Authors

4 authors across 2 institutions in 2 countries

Hao LiangFirst author
Hai-Tang Guan
Stanley Ebhohimhen AbhadiomhenCorresponding
- University of Nigeria (NG)
Li YanSenior author

Development goals

11Sustainable cities and communities

Funded by

National Natural Science Foundation of China

Countries on it

China
Nigeria

Also on it

Jiangsu Universityeducation · CN

Fields

A work can sit in several, each with a score

Sparse and Compressive Sensing TechniquesTopic
Face and Expression RecognitionTopic
Remote-Sensing Image ClassificationTopic

Robust Spectral Clustering via Low-Rank Sample Representation · Peerford