On the Consistency of Quick Shift
Machine Learning
2017-12-27 v2 Machine Learning
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.
Cite
@article{arxiv.1710.10646,
title = {On the Consistency of Quick Shift},
author = {Heinrich Jiang},
journal= {arXiv preprint arXiv:1710.10646},
year = {2017}
}
Comments
Proceedings of 31st Conference on Neural Information Processing Systems (NIPS 2017)