Software Component Classification Based on Improved SOM Clustering
基于SOM聚类的软构件分类方法

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.