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Approximate spectral clustering using both reference vectors and topology of the network generated by growing neural gas
Spectral clustering (SC) is one of the most popular clustering methods and often outperforms traditional clustering methods. SC uses the eigenvectors of a Laplacian matrix calculated from a similarity matrix of a dataset. SC has serious drawbacks: the significant increases in the time complexity der...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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PeerJ Inc.
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8384042/ https://www.ncbi.nlm.nih.gov/pubmed/34497872 http://dx.doi.org/10.7717/peerj-cs.679 |