Unsupervised self-organized mapping: A versatile empirical tool for object selection, classification and redshift estimation in large surveys

Monthly Notices of the Royal Astronomical Society

Volumn 419, Issue 3, 2012, Pages 2633-2645

  Geach, James E ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

Methods: data analysis; Methods: observational; Methods: statistical

Indexed keywords

EID: 84855358420     PISSN: 00358711     EISSN: 13652966     Source Type: Journal    
DOI: 10.1111/j.1365-2966.2011.19913.x     Document Type: Article

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