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Statistical approaches in literature: An application of principal component analysis and factor analysis to analyze the different arrangements about the Quran's Suras.
- Source :
-
Digital Scholarship in the Humanities . Apr2021, Vol. 36 Issue 1, p164-171. 8p. - Publication Year :
- 2021
-
Abstract
- Data mining, statistics, and data analysis are popular techniques to study datasets and extract knowledge from them. In this article, principal component analysis and factor analysis were applied to cluster thirteen different given arrangements about the Suras of the Holy Quran. The results showed that these thirteen arrangements can be categorized in two parts such that the first part includes Blachère, Davood, Grimm, Nöldeke, Bazargan, E'temad-al-Saltane and Muir, and the second part includes Ebn Nadim, Jaber, Ebn Abbas, Hazrat Ali, Khazan, and Al-Azhar. [ABSTRACT FROM AUTHOR]
- Subjects :
- *PRINCIPAL components analysis
*FACTOR analysis
*DATA mining
*DATA analysis
Subjects
Details
- Language :
- English
- ISSN :
- 2055768X
- Volume :
- 36
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Digital Scholarship in the Humanities
- Publication Type :
- Academic Journal
- Accession number :
- 150091614
- Full Text :
- https://doi.org/10.1093/llc/fqaa006