| 基于SOM聚类的软构件分类方法 |
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| 引用本文： | 王卓,刘大昕,冯晓宁.基于SOM聚类的软构件分类方法[J].计算机科学,2005,32(10):222-225. |
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| 作者姓名： | 王卓 刘大昕 冯晓宁 |
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| 作者单位： | 哈尔滨工程大学计算机科学与技术学院,哈尔滨150001 |
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| 基金项目： | 国家电子信息产业发展基金（基于斯达模式的中小企业管理信息化软件系统）;黑龙江省发展信息产业专项资金项目（FX-01-054）;哈尔滨市科技攻关计划项目（0111211118）. |
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| 摘 要： | 软构件刻面分类法是一种被各大软构件库系统广泛采用的分类方法,但是传统的刻面分类法需要人工建立和维护庞大的术语空间,增大了软构件建库和入库的工作量.利用基于SOM神经网络的聚类技术可实现无需建立术语空间的软构件自动分类,同时针对软构件的特点和SOM聚类的需要预先确定拓扑结构和聚类结果与输入样本的次序有关等缺点,对SOM聚类的训练过程进行改进以满足软构件聚类的要求.
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| 关 键 词： | 软件复用 软构件 刻面分类 聚类分析 SOM神经网络 |
Software Component Classification Based on Improved SOM Clustering |
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| WANG Zhuo,LIU Da-Xin,FENG Xiao-Ning.Software Component Classification Based on Improved SOM Clustering[J].Computer Science,2005,32(10):222-225. |
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| Authors: | WANG Zhuo LIU Da-Xin FENG Xiao-Ning |
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| Affiliation: | College of Computer Science and Technology, Harbin Engineering University, Harbin 150001 |
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| Abstract: | 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. |
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| Keywords: | Software reuse Software component Faceted classification Clustering analysis Self-organizing feature map neural networks |
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