%0 Journal Article
%T Software Component Classification Based on Improved SOM Clustering<br>基于SOM聚类的软构件分类方法
%A WANG Zhuo
%A LIU Da-Xin
%A FENG Xiao-Ning
%A <br>王卓
%A 刘大昕
%A 冯晓宁
%J 计算机科学
%D 2005
%I 
%X Faceted classification is a popular software component classification adopted by many software component repository systems. However, it needs artificially establish term space of each facet, which increases the workload of establishing the software component repository and the workload of inserting components into the repository. Based on SOM clustering, an automatic component classification is provided to free faceted classification from term space. SOM clustering has two disadvantages such that their topology construction need be defined in advance and the cluster result is disturbed by order of learning samples. So the training process of SOM clustering is improved to increase the accuracy of software component classification.
%K Software reuse
%K Software component
%K Faceted classification
%K Clustering analysis
%K Self-organizing feature map neural networks<br>软件复用
%K 软构件
%K 刻面分类
%K 聚类分析
%K SOM神经网络
%K SOM神经网络
%K 软构件库系统
%K 聚类技术
%K 分类方法
%K 自动分类
%K 聚类结果
%K 拓扑结构
%K 训练过程
%K 分类法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=6B4AA50241B54D82&yid=2DD7160C83D0ACED&vid=9971A5E270697F23&iid=F3090AE9B60B7ED1&sid=8B59EA573021D671&eid=4966445AEEBA9556&journal_id=1002-137X&journal_name=计算机科学&referenced_num=1&reference_num=8