This is the code repo for MVTV, a graph-TV version of Convex Regression with Interpretable Sharp Partitions (CRISP) that finds sharp, interpretable partitions.
If referencing this work, please cite the following paper (available here),
@inproceedings{tansey:etal:aaai2018,
title={Maximum-Variance Total Variation Denoising for Interpretable Spatial Smoothing},
author={Tansey, Wesley and Thomason, Jesse and Scott, James~G.},
booktitle={The 2018 AAAI Conference on Artificial Intelligence (AAAI-18)},
year={2018}
}