Poster
On the Consistency of Quick Shift
Heinrich Jiang
Pacific Ballroom #214
Keywords: [ Density Estimation ] [ Unsupervised Learning ] [ Learning Theory ] [ Clustering ]
Quick Shift is a popular mode-seeking and clustering algorithm. We present finite sample statistical consistency guarantees for Quick Shift on mode and cluster recovery under mild distributional assumptions. We then apply our results to construct a consistent modal regression algorithm.
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