Metadata-Version: 2.1
Name: astro-crispy
Version: 0.1.0
Summary: Computational Ridge Identification with SCMS for Python
Home-page: https://github.com/mcyc/crispy
Author: Michael Chun-Yuan Chen
Author-email: mcychen@uvic.ca
License: UNKNOWN
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](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)
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 2
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)
Classifier: Operating System :: OS Independent
Requires-Python: >=2.7
Description-Content-Type: text/markdown
