Clustering, Hamming Embedding, Generalized LSH and the Max Norm

Behnam Neyshabur; Yury Makarychev; Nathan Srebro

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arXiv · 1405.3167

Clustering, Hamming Embedding, Generalized LSH and the Max Norm

Behnam Neyshabur·Yury Makarychev·Nathan Srebro

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Abstract

We study the convex relaxation of clustering and hamming embedding, focusing on the asymmetric case (co-clustering and asymmetric hamming embedding), understanding their relationship to LSH as studied by (Charikar 2002) and to the max-norm ball, and the differences between their symmetric and asymmetric versions.

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Behnam Neyshabur, Yury Makarychev, Nathan Srebro. 2014-05-13. Clustering, Hamming Embedding, Generalized LSH and the Max Norm. https://arxiv.org/abs/1405.3167

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