Use Density-Based Spatial Clustering of Applications with Noise (DBSCAN) Algorithm to Identify Galaxy Cluster Members

Galaxies are important structures for studying the universe, and clusters are the physical environment of galaxies. Their study is of great significance for understanding the evolution of galaxies and the distribution of matter. Classification of galaxies into clusters is an urgent subject. How do w...

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Bibliographic Details

Published in:	IOP conference series. Earth and environmental science Vol. 252; no. 4; pp. 42033 - 42037
Main Author:	Zhang, Mingrui
Format:	Journal Article
Language:	English
Published:	Bristol IOP Publishing 09.07.2019
Subjects:	Algorithms Classification Clustering Codec Data points Galactic clusters Galactic evolution Galaxy distribution Mathematical models Stars & galaxies
ISSN:	1755-1307, 1755-1315, 1755-1315
Online Access:	Get full text
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