CAJ | 학술논문

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。
내용관리작위내용적공향여구통적공구，이경성위계산궤영역적중요응용。수착신식적비속증장，여하유효적대호한적신식진행분류조직，성위내용관리적관건문제。대내용귀류조직불부유리우내용적쾌속사순，이차편우대내용적분류관리。문장연구료일충기우K-means취류산법적내용분류방법，실현료해량내용적유효분류관리，병재차기출상진행료응용분석。
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.