2016
JMLR
JMLR 2016
On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm
Abstract
We consider the problem of estimating the gradient lines of a density, which can be used to cluster points sampled from that density, for example via the mean-shift algorithm of Fukunaga and Hostetler (1975). We prove general convergence bounds that we then specialize to kernel density estimation. [abs] [ pdf ][ bib ] © JMLR 2016. (edit, beta)
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