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

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Sarah Ismael Khalel, Dr. Ammar Kuti Nasser, Nihad Sharif

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.

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How to Cite
Sarah Ismael Khalel, Dr. Ammar Kuti Nasser, Nihad Sharif. (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 (TURCOMAT), 13(03), 699–704. https://doi.org/10.17762/turcomat.v13i03.13115
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Research Articles