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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:

  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)

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