Clustering algorithms: sensitivity of mass determination using A 3581
作者： S. Wilson , N. Oozeer , S.I. Loubser
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摘要: In this paper we discuss various methods for clustering in order to determine estimates of the cluster mass, focusing on A3581. Using virtual observatory (VO) tools, possible galaxy candidates are selected. Kayes Mixture Model (KMM) algorithm and Gaussian Mixing (GMM), most likely member candidates. We then compare results obtained SIMBADs method hierarchy. The mass A 3581 was calculated checked with literature values. sensitivity determination show that GMM provides a very robust 3581. (© 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)
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