基于聚类的内容分类方法的研究与应用分析  

Research and Application of Content Classification Method Based on Clustering

作　　者：朱青[1] 牛志慧[1] 张晓凌[1] 

机构地区：[1]北京工业大学软件学院,北京100124

出　　处：《电脑与信息技术》2014年第3期4-6,20,共4页Computer and Information Technology

基　　金：国家科技支撑计划(攻关计划)(项目编号:22025001201201)

摘　　要：内容管理作为内容的共享与沟通的工具,已经成为计算机领域的重要应用。随着信息的飞速增长,如何有效的对浩瀚的信息进行分类组织,成为内容管理的关键问题。对内容归类组织不仅有利于内容的快速查询,而且便于对内容的分类管理。文章研究了一种基于K-means聚类算法的内容分类方法,实现了海量内容的有效分类管理,并在此基础上进行了应用分析。Content management as a tool of content sharing and communication, has become an important application in the field of computer. With the rapid growth of information, how to classify the vast information effectively, becomes the key problem of content management. The content classification and organization not only is beneficial to content search, but also facilitate the classification of content management. This paper studies a kind of classification method of K-means clustering algorithm based on content, which realize the effective classification management of massive content, and on the basis of this method we made the analysis of application in this paper.

关 键 词：内容管理 聚类分析 内容分类 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]