摘要
针对科学文献的特点,以及人们在查询资料时主要使用关键词来进行查询的特征,提出了一种新的聚类方法。先对关键词进行聚类,由关键词的聚类结果直接映射得到文献的初始聚类,再根据文献的隶属度获得优化的聚类集。
With the characteristics of the literature of science and technology,for people to search data with main usage
出处
《计算机应用》
CSCD
北大核心
2004年第11期66-67,70,共3页
journal of Computer Applications
基金
国家自然科学基金重点项目 (70 0 3 1 0 1 0 )
关键词
模糊等价矩阵
模糊聚类
隶属度
were taken into account,a kind of new Fuzzy clustering method was put forward. Firstly,the key words were clustered.Then a initiatory clustering set of literature were mapped by the result of fuzzy clustering set for key words. Finally,an optimal clustering set was got by the suborinative degree of literature. Key words: fuzzy equivalence matrix
fuzzy clustering
subordinative degree
