[Xu, Cui; Xu, Ke; Liu, Yuhua] Cent China Normal Univ, Acad Comp Sci, Wuhan 430079, Hubei, Peoples R China.
[Xu, Kaihua] Cent China Normal Univ, Coll Phys Sci & Technol, Wuhan 430079, Hubei, Peoples R China.
通讯机构：
[Liu, Yuhua] C
Cent China Normal Univ, Acad Comp Sci, Wuhan 430079, Hubei, Peoples R China.
语种：
英文
期刊：
2013 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (ICIST)
ISSN：
2164-4357
年：
2013
页码：
652-657
会议名称：
International Conference on Information Science and Technology (ICIST)
会议论文集名称：
International Conference on Information Science and Technology
会议时间：
MAR 23-25, 2013
会议地点：
Yangzhou, PEOPLES R CHINA
会议主办单位：
[Xu, Cui;Liu, Yuhua;Xu, Ke] Cent China Normal Univ, Acad Comp Sci, Wuhan 430079, Hubei, Peoples R China.^[Xu, Kaihua] Cent China Normal Univ, Coll Phys Sci & Technol, Wuhan 430079, Hubei, Peoples R China.
出版地：
345 E 47TH ST, NEW YORK, NY 10017 USA
出版者：
IEEE
ISBN：
978-1-4673-5137-9
机构署名：
本校为第一且通讯机构
院系归属：
物理科学与技术学院
计算机学院
摘要：
Clustering analysis is a hot research in the field of complex network, in order to overcome high time complexity, difficulty for the user to select initial conditions and other defects of the existing clustering algorithms, this paper analyses the above problems and proposes an adaptive clustering algorithm based on data field in complex networks. First, the importance factor is proposed to dig out the important vertices in networks as the center of the cluster which is based on the defects and merits of evaluation indexes of the vertex's degree, mutual information and closeness respectively. ...
