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On the Consistency of Quick Shift

Neural Information Processing Systems (NeurIPS), 2017
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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