Employment of Cluster Analysis to Study the Classification Variables for the Youth Development in Iraq
DOI:
https://doi.org/10.61841/ns2rx291Keywords:
Agglomeration Schedule, K- means, Hierarchical Cluster, Cluster Analysis, Proximity MatrixAbstract
Cluster analysis is one of the branches of multivariate statistical analysis. It is a set of procedures that seeks to classify the sample of observations into two or more dependent categories, depending on the combinations of the variables categories, for discovering common characteristics to organize the views (individuals) and dividing them into groups with the same characteristics. The young people are the cause of the rise of the nations, the secret of their strength. Therefore, the effective role played by the state in the development of societies is to create mentally and scientifically qualified young people to serve their country and society with appropriate solutions. In this study we used two different types of clustering analysis methods, hierarchical and k-means, and used the classification from two to four groups. So, it was concluded that the Iraqi cities were classified into four groups depending on some variables of youth development in Iraq. Moreover, the cities of the second group are characterized by the highest rate of economic activity, while the cities of the third group have the highest rate of literacy, the cities of the first group have the highest rate of food insecurity, and the cities of the fourth group have the highest rate of youth who have the best health.
Downloads
References
[1] Statistical Software SPSS22.
[2] United Nations Development Program, Human Development Report 1990.
[3] National Report of the Human Development Situation in Iraq 2014.
[4] Okasha, Mahmoud Khaled (2002). ” Using SPSS in Data Analysis (In Arabic),” Al-Azhar University - ,
Gaza.
[5] Dr. Ahmed Ahmed Abou Bakr, "Development of financial analysis in quantitative methods to predict
financial crises in life insurance companies (applied to the Egyptian insurance market) Faculty of
Commerce - Beni Suef University—Egypt).
[6] Youssef, MD Haitham Yacoub. Pharaoh, Hesham. Mohammed, Eng. Jafar Kassem, "Using Cluster
Analysis to Evaluate the Dimensions of the Human Development Index in Iraq 2006," Diyala Journal of
Human Scientific Research, vol. 49, 2011.
[7] Al-Shamarti, Hamed Saad Nour. Al Tamimi, LLC. Suhad Ali, "Using Cluster Analysis to Evaluate Environmental and Sustainable Development Indicators in the Governorates of Iraq for the Years 2007-2011," Journal of Management and Economics, 35th Year, No. 99, 2012.
[8] Taha, Hudhayfah Hazem. Hussein, Mohammed Hussein, "Using cluster analysis to classify the quality of groundwater in the wells of the Baasheqa area in Nineveh province," Iraqi Journal of Statistical Sciences 2012.
[9] National Human Development Report 2014.
[10] Johson, R.A., Wichern, D.W. 1988. "Applied multivariate," ed. Prentice Hall, Englewood Cliffs, New Jersey.
[11] Alvin C. Rencher, 2002, Method of Multivariate Analysis," ed. Wiley Series in Prob. and Statistics, ch. 14.
[12] W. Hardle, L. Simar, "Applied multivariate statistical analysis" 2007, ed. Berlin and Louvain-la-Neuve.
[13] Wolfgang Hardle, 2007, Hardel2007"Maltivariate statistics" Berlin and Prag.
[14] Tan, Steinbach, Karpatne, Kumar 2018, "Introduction to Data Mining, 2nd Edition."
[15] Battaglia, O. R., Di Paola, B., and Fazio, C. (2016). A New Approach to Investigate Students’ Behavior by Using Cluster Analysis as an Unsupervised Methodology in the Field of Education. Applied Mathematics, 7, 1649-1673.
Downloads
Published
Issue
Section
License
Copyright (c) 2020 AUTHOR
This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
