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Approximate sparse spectral clustering based on local information maintenance for hyperspectral image classification
Sparse spectral clustering (SSC) has become one of the most popular clustering approaches in recent years. However, its high computational complexity prevents its application to large-scale datasets such as hyperspectral images (HSIs). In this paper, we propose two efficient approximate sparse spect...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6097666/ https://www.ncbi.nlm.nih.gov/pubmed/30118492 http://dx.doi.org/10.1371/journal.pone.0202161 |