DocumentCode
69698
Title
Studying the Milky Way Galaxy Using ParaHeap-k
Author
Jenne, Mark ; Boberg, Owen ; Kurban, Hasan ; Dalkilic, Mehmet
Volume
47
Issue
9
fYear
2014
fDate
Sept. 2014
Firstpage
26
Lastpage
33
Abstract
Dramatic increases in the amount and complexity of stellar data must be matched by new or refined algorithms that can help scientists make sense of this data and so better understand the universe. ParaHeap-k is a parallel cluster algorithm for analyzing big data that can potentially prove useful to astronomical research.
Keywords
astronomy computing; data analysis; parallel processing; ParaHeap-k; astronomical research; big data analysis; computational astronomy; milky way galaxy; parallel cluster algorithm; refined algorithms; stellar data; Algorithm design and analysis; Astronomy; Clustering algorithms; Informatics; Kinematics; Parallel processing; Scientific computing; Signal processing algorithms; Gaia satellite; Milky Way; Scientific computing; big data; centroids; clustering heaps; computational astronomy; k-mean++; k-means; parallel clustering; stellar halo; stellar thick disc; stellar thin disc;
fLanguage
English
Journal_Title
Computer
Publisher
ieee
ISSN
0018-9162
Type
jour
DOI
10.1109/MC.2014.264
Filename
6898791
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