| 科学文献的模糊聚类算法 |
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| 引用本文： | 林春燕,朱东华.科学文献的模糊聚类算法[J].计算机应用,2004,24(11):66-67,70. |
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| 作者姓名： | 林春燕 朱东华 |
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| 作者单位： | 1. 北京理工大学,应用数学系,北京,100081
2. 北京理工大学,管理与经济学院,北京,100081 |
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| 基金项目： | 国家自然科学基金重点项目 (70 0 3 1 0 1 0 ) |
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| 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。
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| 关 键 词： | 模糊等价矩阵 模糊聚类 隶属度 |
| 文章编号： | 1001-9081(2004)11-0066-02 |
Fuzzy clustering for the literature of science and technology |
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| LIN Chun-yan,ZHU Dong-hua.Fuzzy clustering for the literature of science and technology[J].journal of Computer Applications,2004,24(11):66-67,70. |
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| Authors: | LIN Chun-yan ZHU Dong-hua |
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| Affiliation: | LIN Chun-yan~1,ZHU Dong-hua~2 |
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| Abstract: | With the characteristics of the literature of science and technology,for people to search data with main usage |
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| Keywords: | 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 |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
