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

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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 of all classified galaxies are labelled as "Uncertain".This book reports ...

Astronomy and Big Data: A Data Clustering Approach to Identifying Uncertain Galaxy Morphology 2016, Springer

ISBN-13: 9783319383286

Softcover Reprint of the Origi edition

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Astronomy and Big Data: A Data Clustering Approach to Identifying Uncertain Galaxy Morphology 2014, Springer International Publishing AG, Cham

ISBN-13: 9783319065984

2014 edition

Hardcover

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