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A Spectral Algorithm for Learning Mixtures of Distributions

FOCS, pp.113-113, (2002)

Cited: 139|Views24
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Abstract

We show that a simple spectral algorithm for learning a mixture of k spherical Gaussians in Rn works remarkably well 驴 it succeeds in identifying the Gaussians assuming essentially the minimum possible separation between their centers that keeps them unique (solving an open problem of [1]). The sample complexity and running time are polyn...More

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