Nyström method with Kernel K-means++ samples as landmarks

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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...

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Bibliographic Details
Main Authors:	Oglic, Dino, Gaertner, Thomas
Format:	Conference or Workshop Item
Published:	Journal of Machine Learning Research 2017
Online Access:	https://eprints.nottingham.ac.uk/43573/

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