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Mahdi Bazargan

شکوفه خیردستان، مهدی بازرگان، سهند شکری
طبقه‌بندی خودکار طیف‌های ستاره‌ای با استفاده از خوشه‌بندی K-Means
Automated Classification of Stellar Spectra Using K-Means Clustering
Abstract


This paper explores the use of k-means clustering as a tool for automated unsupervised classification of massive stellar spectral catalogs. We work with a representative set of stellar spectra associated with the Sloan Digital Sky Survey (SDSS), which consists of 20,000 spectra from 3850 to 8900 Å. The classification of the spectra renders 36 major classes.

 

 

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