Spectral clustering based on high‐frequency texture components for face datasets
Abstract Spectral clustering is one of the most widely used technologies for clustering tasks, which represents data as a weighted graph, and aims to find an appropriate way to cut the graph apart in order to categorize the raw data. The pivotal step of spectral clustering is to find out the accurat...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-08-01
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| Series: | IET Image Processing |
| Online Access: | https://doi.org/10.1049/ipr2.12191 |