Astronomy and Big Data: A Data Clustering Approach to Identifying Uncertain Galaxy Morphology

by Mohamed Medhat Gaber and Kieran Jay Edwards

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With the onset of massive cosmological data collection through media such as the Sloan Digital Sky Survey (SDSS), galaxy classification has been accomplished for the most part with the help of citizen science communities like Galaxy Zoo. Seeking the wisdom of the crowd for such Big Data processing has proved extremely beneficial. However, an analysis of one of the Galaxy Zoo morphological classification data sets has shown that a significant majority...

Format:Paperback

Language:English

ISBN:3319383280

ISBN13:9783319383286

Release Date:September 2016

Publisher:Springer

Length:105 Pages

Weight:0.39 lbs.

Dimensions:0.3" x 6.1" x 9.2"

Related Subjects

Computers Computers & Technology Science Science & Math Science & Scientists Science & Technology

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Astronomy and Big Data: A Data Clustering Approach to Identifying Uncertain Galaxy Morphology

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