Fuzzy C-Multiple-Means Clustering for Hyperspectral Image
Author:
Affiliation:
1. School of Information Engineering, Guangdong University of Technology, Guangzhou, China
2. School of Computer Science of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi’an, China
Funder
Natural Science Foundation of Guangdong Province
Key Laboratory open Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology
Link
http://xplorestaging.ieee.org/ielx7/8859/10034981/10068280.pdf?arnumber=10068280
Reference22 articles.
1. Spectral embedded clustering: A framework for in-sample and out-of-sample spectral clustering;nie;IEEE Trans Neural Netw,2011
2. On spectral clustering: And an algorithm;ng;Proc NIPS,2022
3. Fast Spectral Embedded Clustering Based on Structured Graph Learning for Large-Scale Hyperspectral Image
4. Fuzzy Embedded Clustering Based on Bipartite Graph for Large-Scale Hyperspectral Image
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3. Spatial and Cluster Structural Prior-Guided Subspace Clustering for Hyperspectral Image;IEEE Transactions on Geoscience and Remote Sensing;2024
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