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基于语义相似度与优化的构件聚类算法
引用本文:张英俊,任姚鹏,陈立潮,谢斌红.基于语义相似度与优化的构件聚类算法[J].计算机工程与设计,2010,31(11).
作者姓名:张英俊  任姚鹏  陈立潮  谢斌红
作者单位:太原科技大学,计算机科学与技术学院,山西,太原,030024
摘    要:为克服刻面分类表示法的人为主观因素,采用了刻面分类与全文检索相结合的方法对构件进行了表示.同时,从语义角度出发,结合优化技术,提出了一种基于语义相似度与优化的构件聚类算法.该算法有效地减少了刻面分类的主观性因素,进一步提高了构件查询的效率和准确性,并与基于向量空间模型的构件聚类效果进行比较.实验结果表明,基于语义相似度与优化的构件聚类算法的有效性,它在一定程度上改善了构件聚类的效果,提高了聚类质量.

关 键 词:刻面分类  全文检索  语义相似度  聚类优化  构件聚类

Component clustering algorithm based on semantic similarity and optimization
ZHANG Ying-jun,REN Yao-peng,CHEN Li-chao,XIE Bin-hong.Component clustering algorithm based on semantic similarity and optimization[J].Computer Engineering and Design,2010,31(11).
Authors:ZHANG Ying-jun  REN Yao-peng  CHEN Li-chao  XIE Bin-hong
Affiliation:ZHANG Ying-jun,REN Yao-peng,CHEN Li-chao,XIE Bin-hong(School of Computer Science , Technology,Taiyuan University of Science , Technology,Taiyuan 030024,China)
Abstract:To overcome the subjective factors of faceted classification representation,the faceted classification is combined with text retrieval to describe the components.Meanwhile,from the semantic view and combined optimization techniques,a component clustering algorithm based on semantic similarity and optimization is proposed.This algorithm can reduce the subjective factors of faceted classification,and further improve the efficiency and accuracy of component search.And compared with component clustering effect ...
Keywords:faceted classification  full-text retrieval  semantic similarity  clustering optimization  component clustering  
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