Scalable Spectral Clustering With Nyström Approximation: Practical and Theoretical Aspects
Spectral clustering techniques are valuable tools in signal processing and machine learning for partitioning complex data sets. The effectiveness of spectral clustering stems from constructing a non-linear embedding based on creating a similarity graph and computing the spectral decomposition of the...
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| Formato: | Artigo |
| Idioma: | English |
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IEEE
2020-01-01
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| Series: | IEEE Open Journal of Signal Processing |
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| Acceso en liña: | https://ieeexplore.ieee.org/document/9264745/ |