A Study on the Application of Fuzzy Clustering Analysis in Juvenile Delinquency Prevention

摘要

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.