Turkish Journal of Computer and Mathematics Education
Journal license

Journal

Turkish Journal of Computer and Mathematics Education


Volume
& Issue

Volume 13, Issue 3


Published
on


Pages

699-704


DOI

Article

The Use of Hierarchical Cluster Analysis in Classifying the Phenomenon of Drug Addiction in the Governorates of Iraq, Except for the Kurdistan Region


Authors

Sarah Ismael Khalel Affiliation:
Department of Mathematics, College of Education for Girls
, Ammar Kuti Nasser Affiliation:
Department of Mathematics, College of Basic Education
and Nihad Sharif Affiliation:
Department of Mathematics, College of Education for Girls


Abstract

In this research, hierarchical cluster analysis was used, which is one of the types of multivariate cluster analysis. A group of governorates, except for the Kurdistan region of Iraq, were classified into homogeneous groups for drug addicts in terms of gender, age and occupation. The segmentation method was used to consist of four clusters, each cluster consisting of a number of homogeneous observations among them. Therefore, the observations of the first group should be more homogeneous than the observations of the second group.


Keywords

Single Linkage, Complete Linkage, Average Linkage, Multiviriat Analysis


Citation

Khalel, S. I., Nasser, A. K., & Sharif, N. (2022). The use of hierarchical cluster analysis in classifying the phenomenon of drug addiction in the governorates of iraq, except for the kurdistan region. Turkish Journal of Computer and Mathematics Education, 13(3), 699–704.

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