On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm

نویسندگان

  • Ery Arias-Castro
  • David Mason
  • Bruno Pelletier
چکیده

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.

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عنوان ژورنال:
  • Journal of Machine Learning Research

دوره 17  شماره 

صفحات  -

تاریخ انتشار 2016