Nyström method with Kernel K-means++ samples as landmarks
We investigate, theoretically and empirically, the effectiveness of kernel K-means++ samples as landmarks in the Nyström method for low-rank approximation of kernel matrices. Previous empirical studies (Zhang et al., 2008; Kumar et al.,2012) observe that the landmarks obtained using (kernel) K-means...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Published: |
Journal of Machine Learning Research
2017
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| Online Access: | https://eprints.nottingham.ac.uk/43573/ |