Preliminary MultivariateAnalysis of the Harvard Spectral Classification of the H-R Diagram Main Sequence Stars

被引:1
|
作者
Janosek, Michal [1 ]
机构
[1] Univ Ostrava, Dept Informat & Comp, CZ-70103 Ostrava, Czech Republic
关键词
cluster analysis; dimensionality reduction; Harvard spectral classification; H-R diagram;
D O I
10.1063/1.4912759
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This article aims to analyse main sequence stars of the Hertzsprung-Russell diagram using cluster analysis methods in order to prove if the results from the cluster analysis will match with Harvard spectral classification. Nextdo a dimensional reduction task in order to see if it is possible to explain the variance of the data using less factors than examined numbers of parameters. Using particular stars' parameters following methods are performed: hierarchical clustering, centroid-based clustering (k-means), principal component analysis and factor analysis.
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页数:4
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