Socio-Economic and Demographic Classification of HIV/AIDS Patients: Using Cluster Analysis

Abstract

HIV/AIDS has been spreading in an alarming rate since the beginning of the pandemic. It is estimated that at least half of the affected ones are between 15-24 years. These have called for a concerted effort to save this segment of the population for many reasons. Against this background the study was aimed at classifying socio economic and demographic several of 1500 patients, registered with the university of Maiduguri teaching hospital from 2009 to 2013.Cluster analysis was employed on the set data. The distance which shows similarly between the variable using the coefficient distance was calculated. Dendogram were formed for agglomerative schedule. It was observed that the dendogram formed by the various methods differs according to their coefficient. Even though the single, complete and ward follow similar pattern of cluster except the centriod method, which differ and gave different pattern.

Keywords: Agglomerative, Cluster Analysis, Dendogram, and Hierarchical