방사선 정상수준 수치의 동위원소별 방사능오염 분석을 위한 clustering

Networks Clustering for the analysis of radioactive contamination of radiation summit level of the isotope of numerical

Radioactive-related incidents such as The Fukushima nuclear exposure incident have been frequently occur. so several government agencies propose radioactivity levels normal range about each area of the city, state. and we always contrast radiation exposure risk because Korea is close to Japan. Data of this paper, has a collection from the United States government. and The number beyond the information and the range of the attribute I were analyzed. The analysis method is clustering using EM and SimpleKMeans algorithm. The analyzed results about US Radioactive associated data, Exceedance probability higher the number of the normal range is high, I was found to be high. and Depending on the method of analysis, it can be seen that the method of the algorithm is different. so The more local value of the normal range is high, the government increased the investigation frequency, you need to pay attention.