On the Consistency of Quick Shift
Part of: Advances in Neural Information Processing Systems 30 (NIPS 2017)
Pre-Proceedings
Authors
Conference Event Type: Poster
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.