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Title: A Study on the Application of Fuzzy Clustering Analysis in Juvenile Delinquency Prevention
Authors: Yau-Ren Shiau
Ching-Hsing Tsai
Yung-Hsiang Hung
Jui-Huan Wu
Contributors: 國立臺灣海洋大學:海洋文創設計產業學士學位學程
Date: 2013-09
Issue Date: 2018-11-22T08:41:54Z
Publisher: Information Technology Journal
Abstract: Abstract: In recent years, the application of data mining technology in juvenile delinquency prevention has been receiving growing attention. The clustering algorithm of machine learning can divide data into many clusters according to grouping targets and its main purpose is to find several similar clusters among the data. The fuzzy clustering analysis method has excellent performance in clustering distribution rate. This study applies the Fuzzy C-means (FCM) analysis to group the data and determine appropriate major characteristics to enhance the fuzzy clustering analysis method in terms of juvenile delinquency discriminant rules and prevention.
Relation: 12(7) pp.1358-1365
Appears in Collections:[Bachelor Degree Program in Oceanic Cultural Creative Design Industries] Periodical Articles

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