Semi-supervised spectral clustering using shared nearest neighbor for data with different shape and density
In the absence of supervisory information in spectral clustering algorithms, it is difficult to construct suitable similarity graphs for data with complex shapes and varying densities. To address this issue, this paper proposes a semi-supervised spectral clustering algorithm based on shared nearest...
| Published in: | IAES International Journal of Artificial Intelligence |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Institute of Advanced Engineering and Science
2024
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192725606&doi=10.11591%2fijai.v13.i2.pp2283-2290&partnerID=40&md5=d210ca5eb68609a3d57c0e6a63b6d159 |