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Distributions of angles in random packing on spheres

Author(s): Cai, T; Fan, J; Jiang, T

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dc.contributor.authorCai, Ten_US
dc.contributor.authorFan, Jen_US
dc.contributor.authorJiang, Ten_US
dc.date.accessioned2018-07-20T15:06:52Z-
dc.date.available2018-07-20T15:06:52Z-
dc.date.issued2013-06-01en_US
dc.identifier.citationCai, T, Fan, J, Jiang, T. (2013). Distributions of angles in random packing on spheres. Journal of Machine Learning Research, 14 (1837 - 1864en_US
dc.identifier.issn1532-4435en_US
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/pr1mm30-
dc.description.abstractThis paper studies the asymptotic behaviors of the pairwise angles among n randomly and uniformly distributed unit vectors in ℝ p as the number of points n → ∞, while the dimension p is either fixed or growing with n. For both settings, we derive the limiting empirical distribution of the random angles and the limiting distributions of the extreme angles. The results reveal interesting differences in the two settings and provide a precise characterization of the folklore that "all high-dimensional random vectors are almost always nearly orthogonal to each other". Applications to statistics and machine learning and connections with some open problems in physics and mathematics are also discussed. © 2013 Tony Cai, Jianqing Fan and Tiefeng Jiang.en_US
dc.format.extent1837 - 1864en_US
dc.relation.ispartofJournal of Machine Learning Researchen_US
dc.titleDistributions of angles in random packing on spheresen_US
dc.typeJournal Article-
dc.identifier.eissn1533-7928en_US
pu.type.symplectichttp://www.symplectic.co.uk/publications/atom-terms/1.0/journal-articleen_US

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