Title :
Studying the Milky Way Galaxy Using ParaHeap-k
Author :
Jenne, Mark ; Boberg, Owen ; Kurban, Hasan ; Dalkilic, Mehmet
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;
DOI :
10.1109/MC.2014.264
