期刊名称：International Journal of Advances in Soft Computing and Its Applications
印刷版ISSN：2074-8523
出版年度：2016
卷号：8
期号：3
出版社：International Center for Scientific Research and Studies
摘要：Malnutrition is the condition caused by low consumption ofenergy and protein in daily food intake. Central Java is one of theprovinces in Indonesia which has high number cases ofmalnutrition. Therefore, researchers classify areas in Central Javaby malnutrition based on factor of facilities and health workers aswell as demographic factors to assist the government in makingdecisions in reducing malnutrition. In this paper, K-meansalgorithm and the Kohonen Self Organizing Maps (SOM) are used.K-means clustering is a conventional method where grouping cannotbe conducted without prior assumption test. Assumptions test is astatistical requirement that must be fulfilled in a statistical analysisin order to obtain more precise analysis results. SOM is an algorithmwhich can be employed to analyze high-dimensional data andgrouping that does not require the assumption test. From the resultsof the cluster evaluation, the value of Sum Square Error (SSE)shows that clustering with SOM method results SSE value which issmaller than K-means method clustering. It means that SOM methodhas a higher degree of similarity than K-means clustering methodhas
关键词：Malnutrition; K - means; Self Organizing Maps (SOM); Sum Square;Error (SSE).
