English  |  正體中文  |  简体中文  |  Items with full text/Total items : 26988/38789
Visitors : 2313476      Online Users : 33
RC Version 4.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search

Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/51334

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
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/51334
Appears in Collections:[海洋文創設計產業學士學位學程(學系)] 期刊論文

Files in This Item:

File Description SizeFormat

All items in NTOUR are protected by copyright, with all rights reserved.


著作權政策宣告: 本網站之內容為國立臺灣海洋大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,請合理使用本網站之內容,以尊重著作權人之權益。
網站維護: 海大圖資處 圖書系統組
DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback