semvec/pypi-packages huggingface dataset:
astro-crispy 0.1.0
Computational Ridge Identification with SCMS for Python
Requires Python: >=2.7

## CRISPy
Computational Ridge Identification with SCMS for Python

This code is a python implementation of the generalized Subspace Constrained Mean Shift (SCMS) algorithm, translated and modified from the [R-code](https://sites.google.com/site/yenchicr/algorithm) developed by [Yen-Chi Chen](http://faculty.washington.edu/yenchic/) (University of Washington).

Please cite the following papers when using the code:
1. Ozertem, Umut, and Deniz Erdogmus. "Locally Defined Principal Curves and Surfaces." The Journal of Machine Learning Research 12 (2011): 1249-1286.
2. Chen, Yen-Chi, Christopher Genovese, Christopher R. Genovese, and Larry Wasserman. "Generalized Mode and Ridge Estimation." (2014): arXiv :1406.1803
3. Chen, Yen-Chi, Shirley Ho, Peter E. Freeman, Christopher R. Genovese, and Larry Wasserman. "Cosmic Web Reconstruction through Density Ridges: Method and Algorithm." MNRAS 454 1140 (2015) arXiv: 1501.05303
4. Chen, Michael Chun-Yuan, et al. "Velocity-Coherent Filaments in NGC 1333: Evidence for Accretion Flow?" ApJ (2019, submitted)