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基于最小聚类单元的商圈聚类方法研究
引用本文:刘贞,张小真.基于最小聚类单元的商圈聚类方法研究[J].西南师范大学学报(自然科学版),2004,29(6):949-952.
作者姓名:刘贞  张小真
作者单位:1. 重庆工学院,计算机科学与工程学院,重庆,400050
2. 西南师范大学,计算机与信息科学学院,重庆,400715
基金项目:重庆市应用基础项目(6970).
摘    要:根据客户群聚的特点,在分析现有聚类方法的基础上,提出了基于最小聚类单元(LeastClusterCell,简称 LCC)的商圈聚类方法.并在数据挖掘体系结构中引入LCC子系统,以利用关系数据库成熟的接口技术方便地完成 对LCC的各种操作管理.

关 键 词:数据挖掘  聚类分析  数据聚类  客户聚类  商圈划分
文章编号:1000-5471(2004)06-0949-04
修稿时间:2004年1月6日

Study of Cluster Sowntown and Application Based on Least Cluster Cell
LIU Zhen,Zhang Xiao-zhen . Dept. of Computer,Chongqing Institutes of Technology,Chongqing ,China, . School of Computer and Information Science,Southwest China Normal University,Chongqing ,China.Study of Cluster Sowntown and Application Based on Least Cluster Cell[J].Journal of Southwest China Normal University(Natural Science),2004,29(6):949-952.
Authors:LIU Zhen  Zhang Xiao-zhen Dept of Computer  Chongqing Institutes of Technology  Chongqing  China  School of Computer and Information Science  Southwest China Normal University  Chongqing  China
Institution:LIU Zhen~1,Zhang Xiao-zhen~2 1. Dept. of Computer,Chongqing Institutes of Technology,Chongqing 400050,China, 2. School of Computer and Information Science,Southwest China Normal University,Chongqing 400715,China
Abstract:Recently, cluster analysis has become a highly active topic in data mining research field. In order to find methods for efficient and effective cluster analysis in large database, sowntown cluster base on least cluster cell adopts by the analysis of cluster methods. The main thought is to introduce LCC managing subsystem in the general data-mining system architecture. The mining results, that is LCC, which were provided to the users directly in the past, are stored in the LCC database through which the users can carry on various operations and management. A consistent view of LCC is formed so as to improve the efficiency of sharing and mining cluster sowntown.
Keywords:data mining  data warehouse  cluster analysis  angler dissimilar  partition sowntown
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