Independent Component Analysis for the objective classification of globular clusters of the galaxy NGC 5128

Asis Kumar Chattopadhyay, Saptarshi Mondal and Tanuka Chattopadhyay

Computational Statistics & Data Analysis, 2013, vol. 57, issue 1, 17-32

Abstract: Independent Component Analysis (ICA) is closely related to Principal Component Analysis (PCA) and factor analysis. Whereas ICA finds a set of source data that are mutually independent, PCA finds a set of data that are mutually uncorrelated. The assumption that data from different physical processes are uncorrelated does not always imply the reverse case that uncorrelated data are coming from different physical processes. This is because lack of correlation is a weaker property than independence.

Keywords: Clustering; Independent Component Analysis; Globular clusters; Galaxy (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:csdana:v:57:y:2013:i:1:p:17-32

DOI: 10.1016/j.csda.2012.06.008

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