كليدواژه :
Fuzzy clustering , health and demographic indices , isolation and compactness of clusters , خوشه بندي فازي , DHS , شاخص هاي بهداشتيو جمعيتي , دي اچ اس
چكيده لاتين :
Introduction: Clustering is a statistical technique that can be applied in multivariate data, lead to identifying homogeneous and similar groups of individuals, objects, ..., and all ʹsubject,ʹ, based on common characteristics that have recorded or measured related to these subjects . D Brent clustering methods include: hierarchical, non-hierarchical and fuzzy. Fuzzy clustering method have useful characteristics in related to extract of more information and solve of problems that occurs in two other methods, hence, this technique recently has been more expanded. In this paper with use of filzzy clustering technique, provinces of country are clustered or in filet homogeneous provinces of country are identified based on health and demographic indices.
Methods: Four groups of indices used for clustering were: 1) household health service, 2) .family planning, 3) fertility women and 4) health and community children. These indices were extraced from DHS(Demographic and Health Survey) design done by the Ministry of Health, Treatment and Medical Education in 2000. Based on each of these indices, similar provinces were identified.
Results: Classification showed that standing in a certain cluster based on one indices group cannot necessarily determine being in the same cluster based on other indices groups. The reason fi.r this, might he due to deference in demographic, social, cultural and economical status of the population under study.
Conclusion: Results of this research are useful in running and rendering of health services proportional to situation of homogeneous groups ofprovinces by health officials.
