Spectral clustering with robust self-learning constraints-Reference-Cited by-同舟云学术

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Spectral clustering with robust self-learning constraints

Published:2023-07 Issue: Volume:320 Page:103924
ISSN:0004-3702
Container-title:Artificial Intelligence
language:en
Short-container-title:Artificial Intelligence

Author:

Bai Liang^ORCID,Qi Minxue,Liang Jiye

Funder

Ministry of Science and Technology of the People's Republic of China

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Reference49 articles.

1. Data clustering: 50 years beyond k-means;Jain,2008

2. Data Clustering: Algorithms and Applications,2014

3. Normalized cuts and image segmentation;Shi;IEEE Trans. Pattern Anal. Mach. Intell.,2000

4. On spectral clustering: analysis and an algorithm;Ng,2001

5. Learning with local and global consistency;Zhou,2003

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1. Two-pronged feature reduction in spectral clustering with optimized landmark selection;Applied Soft Computing;2024-08

2. One-step incremental multi-view spectral clustering based on graph linkage learning;Neurocomputing;2024-07

3. Survey of spectral clustering based on graph theory;Pattern Recognition;2024-07

4. Self-supervised spectral clustering with spectral embedding for hyperspectral image classification;International Journal of Remote Sensing;2024-06-10

5. Three-layered location recommendation algorithm using spectral clustering;Social Network Analysis and Mining;2024-05-11

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