Application of support vector machines to the classification of galaxy morphologies

Proceedings - 2013 International Conference on Computational and Information Sciences, ICCIS 2013

Volumn , Issue , 2013, Pages 322-325

  Freed, Matthew ^a   Lee, Jeonghwa ^a  

^a SHIPPENSBURG UNIVERSITY   (United States)

Author keywords

Classification; Data Mining; Galaxy Morphologies; Support Vector Machines

Indexed keywords

CLASSIFICATION ALGORITHM; CLASSIFICATION INFORMATIONS; DATA-SOURCES; SLOAN DIGITAL SKY SURVEY; SUPPORT VECTOR MACHINE ALGORITHM;

ALGORITHMS; CLASSIFICATION (OF INFORMATION); DATA MINING; GALAXIES; INFORMATION SCIENCE; MORPHOLOGY; SURVEYS;

SUPPORT VECTOR MACHINES;

EID: 84890866484     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCIS.2013.92     Document Type: Conference Paper

References (4)

1. K. N. Abazajian. The seventh data release of the sloan digital sky survey. Astrophysical Journal Supplement Series, 182, 2009.
2. B. Anderson et al. Fast nonlinear regression via eigenimages applied to galactic morphology. Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004.
3. R. Andrae and M. Peter. Morphological galaxy classification with shapelets. AIP Conference Proceedings, 1082, number =, 2008.
4. S. P. Bamford et al. Galaxy zoo: The dependence of morphology and colour on environment. Monthly Notices of the Royal Astronomical Society, 2008.