基于最小聚类单元的商圈聚类方法研究  

Study of Cluster Sowntown and Application Based on Least Cluster Cell

作　　者：刘贞[1] 张小真[2] 

机构地区：[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

出　　处：《西南师范大学学报（自然科学版）》2004年第6期949-952,共4页Journal of Southwest China Normal University(Natural Science Edition)

基　　金：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.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.

关 键 词：商圈 LCC 客户群 操作管理 聚类方法 子系统 数据挖掘 关系数据库 接口技术 体系结构 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]