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Poster

On the Consistency of Quick Shift

Heinrich Jiang

Pacific Ballroom #214

Keywords: [ Clustering ] [ Learning Theory ] [ Unsupervised Learning ] [ Density Estimation ]


Abstract:

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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