| 流数据聚类算法的研究和改进 |
| |
| 引用本文： | 余小军,赵娟娟,张平健.流数据聚类算法的研究和改进[J].广东电脑与电讯,2009(3). |
| |
| 作者姓名： | 余小军 赵娟娟 张平健 |
| |
| 作者单位： | [1]华南理工大学软件学院,广东广州510006 [2]南昌陆军学院,江西南昌330103 |
| |
| 摘 要： | 流数据的聚类算法是当前数据挖掘的研究热点之一。本文在分析两层流数据聚类框架的基础上，引入了动微簇、成长簇等概念和FRG思想，提出了Growstream算法，更能反映出流数据的动态特性。
|
| 关 键 词： | 流数据 数据挖掘 基于密度的聚类 动微簇 成长簇 |
Research and Improvement on Clustering Algorithm of Flow Data |
| |
| Yu Xiaojun Zhao Juanjuan Zhang Pingjian.Research and Improvement on Clustering Algorithm of Flow Data[J].Computer & Telecommunication,2009(3). |
| |
| Authors: | Yu Xiaojun Zhao Juanjuan Zhang Pingjian |
| |
| Affiliation: | 1.School of Software Engineering;South China University of Technology;Guangzhou 510006;Guangdong;2.NanChang Military Academy;Nanchang 330103;Jiangxi;3.School of Software Engineering;Guangdong |
| |
| Abstract: | The research of the clustering algorithm of flow data is one of the heated problems in the field of data mining.On the basis of the framework of two-step data clustering,this paper presents the concepts of micro-cluster,growing micro-cluster,the idea of FRG and an algorithm named Growstream,which can more clearly reflect the dynamic feature of the data stream. |
| |
| Keywords: | flow data data mining density-based cluster active micro-cluster growing micro-cluster |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
