On the Consistency of Quick Shift
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
Text
Jiang. "On the Consistency of Quick Shift." Neural Information Processing Systems, 2017.Markdown
[Jiang. "On the Consistency of Quick Shift." Neural Information Processing Systems, 2017.](https://mlanthology.org/neurips/2017/jiang2017neurips-consistency/)BibTeX
@inproceedings{jiang2017neurips-consistency,
title = {{On the Consistency of Quick Shift}},
author = {Jiang, Heinrich},
booktitle = {Neural Information Processing Systems},
year = {2017},
pages = {46-55},
url = {https://mlanthology.org/neurips/2017/jiang2017neurips-consistency/}
}