| 摘要: |
| 介绍"轴K-平均算法"在文档检索中的应用。利用数值分析的方法,先把文档分为各主题,然后对主题里的文档和关键词进行排序形成半轴.由此可得到全局的主题轴和局部主题轴,通过它们,读者就可以查到所需的信息。 |
| 关键词: 术语 关键词 文档 轴K-平均算法 |
| DOI： |
| 投稿时间：1995-07-01 |
| 基金项目: |
|
| Application of Neural Model in Hyperdocument Retrieval |
|
Qin Jianwen
|
| (Guangxi New Software Technology Lab., Guangxi Computing Center, 32 Xinghu Road, Nanning, Guangxi, 530022) |
| Abstract: |
| Introduces "axial K-means" algorithm using in documents retrieval.By using the methods of numeric analysis,topics are separated from documents,then ranking both documents and kevwords in each topic.So the global and local topic axes appeal.In this way, the user can get the information he needs. |
| Key words: term Keywords document axial K-means algolithm |
