Computational Ridge Identification with SCMS for Python
Project description
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 developed by Yen-Chi Chen (University of Washington).
Please cite the following papers when using the code:
- Ozertem, Umut, and Deniz Erdogmus. "Locally Defined Principal Curves and Surfaces." The Journal of Machine Learning Research 12 (2011): 1249-1286.
- Chen, Yen-Chi, Christopher Genovese, Christopher R. Genovese, and Larry Wasserman. "Generalized Mode and Ridge Estimation." (2014): arXiv :1406.1803
- 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
- Chen, Michael Chun-Yuan, et al. "Velocity-Coherent Filaments in NGC 1333: Evidence for Accretion Flow?" ApJ (2019, submitted)
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