| 马张华.论中文信息动态自动聚类的特点和方法体系[J].中国图书馆学报,2006,32(6): |
| Dynamic Automatic Clustering of Chinese Characters:Characteristics and Methodological System |
| 论中文信息动态自动聚类的特点和方法体系 |
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| DOI： |
| Key words:Dynamic automatic clustering,Special segmentation dictionary,Chinese automatic classification,Network resource organization |
| 中文关键词: 动态自动聚类,专用切分词典,中文自动分类,网络资源组织 |
| 基金项目: |
| 马张华 |
| 北京大学信息管理系 |
| Hits: 3668 |
| Download times: 2156 |
| Abstract: |
| Compared wth traditional static clustering,dynamic automatic clustering has the following characteristics:real-time dynamicness,limited number of documents to be clustered every time,localness of document data to be used for clustering and randomness of the distribution of resources to be clustered in the whole resource set.In this paper,the author summarizes some methods for dynamic automatic clustering,such as using special phrases,using more linear clustering strategies, using hierarchical display and multi-dimensional clustering,using optimization algorithm and expanding the application of pre-processing.1 tab.1 fig.12 refs. |
| 中文摘要: |
| 与传统静态聚类系统相比,动态自动聚类系统有以下特点:聚类是动态进行的,它是在检索结果返回的基础上进行的实时操作;每次聚类的文献对象数量有限;用来作为聚类依据的文献数据只是文献的局部;参与聚类的资源在整个资源集合中的分布是随机的。动态自动聚类方法有:直接将专指性短语作为揭示类目相似性识别的依据;更多使用线性聚类策略;使用等级显示、多维聚类的形式;采用优化算法;扩大预处理的应用。表1。图1。参考文献12。 |
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