Studying the milky way galaxy using paraheap-k

Mark Jenne; Owen Boberg; Hasan Kurban; Mehmet Dalkilic

doi:10.1109/MC.2014.264

Studying the milky way galaxy using paraheap-k

Mark Jenne^*, Owen Boberg, Hasan Kurban, Mehmet Dalkilic

^*Corresponding author for this work

Indiana University Bloomington

Research output: Contribution to specialist publication › Article

9 Citations (Scopus)

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.

Original language	English
Pages	26-33
Number of pages	8
Volume	47
No.	9
Specialist publication	Computer
DOIs	https://doi.org/10.1109/MC.2014.264
Publication status	Published - 1 Sept 2014
Externally published	Yes

Keywords

Gaia satellite
Milky Way
Scientific computing
big data
centroids
clustering heaps
k-mean++
k-means
parallel clustering
stellar halocomputational astronomy
stellar thick disc
stellar thin disc

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10.1109/MC.2014.264

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author = "Mark Jenne and Owen Boberg and Hasan Kurban and Mehmet Dalkilic",

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KW - centroids

KW - clustering heaps

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KW - stellar thin disc

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Studying the milky way galaxy using paraheap-k

Abstract

Keywords

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