식품별 잔류물질허용기준에 의한 군집화 연구

초록

In the modern society, as interest in health and beauty increases, interest in food are growing. Accordingly, concerns about pesticides in food are also increasing. Pesticides are essential for harvesting agricultural products. It is expected that all pesticides will disappear by harvest time, but there are cases where it is not. Ministry of Food and Drug Safety is providing drug residue limits for foods consumed by humans. However, since it deals with a wide variety of foods and substances, it may be difficult to manage and use the information. For such difficulties, this paper attempts to cluster each food and MRL using food-specific MRL data. It aims to help easy information management and understanding through cluster results. The data used in the analysis has many missing values in the data due to the characteristic of food-specific MRL. However, it is difficult to deal with the missing due to the characteristics of the acceptance criteria. To solve this problem, this paper proceeds with a two-stage clustering. First, the hierarchical clustering is performed based on the existence of the MRL criteria for each food, and the clustering between foods and MRLs is performed using the biclustering technique from the first result.

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