基于概念格的聚类分析

上海大学学报(自然科学版)

基于概念格的聚类分析

陈俊，吴绍春，盛春健

上海大学计算机工程与科学学院，上海 200072

收稿日期:2007-05-07 修回日期:1900-01-01 出版日期:2008-08-27 发布日期:2008-08-27
通讯作者: 吴绍春

Clustering Analysis Based on Concept Lattice

CHEN Jun,WU Shao-chun,SHENG Chun-jian

School of Computer Engineering and Science, Shanghai University, Shanghai 200072, China

Received:2007-05-07 Revised:1900-01-01 Online:2008-08-27 Published:2008-08-27
Contact: WU Shao-chun

摘要/Abstract

摘要： 针对如何快速有效地在信息管理系统中建立基于概念格模型的聚类分析进行研究，提出在数据库中保存格节点的概念格物理模型、最小基数格模型和最小基数格节点的生成方法，并用以解决产品间的快速比较、相近产品替代等问题.

关键词: 概念格, 聚类分析, 信息管理系统

Abstract: This paper studies clustering analysis based on concept lattice in an information management system. We present a physical model of concept lattice for database, a minimum concept lattice model, and an algorithm for creating a minimum concept lattice. The method is implemented in an information management system. 

Key words: clustering analysis, information management system, concept lattice

中图分类号:

TP 391

陈俊;吴绍春;盛春健. 基于概念格的聚类分析[J]. 上海大学学报(自然科学版).

CHEN Jun;WU Shao-chun;SHENG Chun-jian. Clustering Analysis Based on Concept Lattice[J]. Journal of Shanghai University（Natural Science Edition）.

[1]	黄文佳，冯铁男，王翼飞. 基于小波的肿瘤基因表达数据聚类分析模型[J]. 上海大学学报(自然科学版), 2011, 17(5): 624-630.
[2]	沈青松，黄文佳，吕玉龙，王翼飞. 一种糖尿病动物模型基因芯片的聚类分析[J]. 上海大学学报(自然科学版), 2010, 16(4): 409-414.