NeurIPS 2017poster17 citations
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.
BibTeX
@inproceedings{NIPS2017_f457c545,
author = {Jiang, Heinrich},
booktitle = {Advances in Neural Information Processing Systems},
editor = {I. Guyon and U. Von Luxburg and S. Bengio and H. Wallach and R. Fergus and S. Vishwanathan and R. Garnett},
pages = {},
publisher = {Curran Associates, Inc.},
title = {On the Consistency of Quick Shift},
url = {https://proceedings.neurips.cc/paper_files/paper/2017/file/f457c545a9ded88f18ecee47145a72c0-Paper.pdf},
volume = {30},
year = {2017}
}