| 基于相似性的商品陈列研究 |
| |
| 引用本文： | 杨通辉,高玲,臧丽.基于相似性的商品陈列研究[J].微型机与应用,2012,31(5):59-61,65. |
| |
| 作者姓名： | 杨通辉 高玲 臧丽 |
| |
| 作者单位： | 山东师范大学信息科学与工程学院,山东济南,250014 |
| |
| 摘 要： | 利用聚类的基本知识,根据不同顾客购买商品的相似性的大小,提出了运用K-means聚类算法。利用相似度代替欧氏距离,对该网络进行聚类分析,划分出相似性大的顾客群体,并根据每个群体中顾客购买每类商品占总商品数的比例进行排序,从而为商品陈列提供依据。
|
| 关 键 词： | 聚类 K-means聚类算法 相似性 商品陈列 |
Commodity display research based on similarity |
| |
| Yang Tonghui,Gao Ling,Zang Li.Commodity display research based on similarity[J].Microcomputer & its Applications,2012,31(5):59-61,65. |
| |
| Authors: | Yang Tonghui Gao Ling Zang Li |
| |
| Affiliation: | (College of Information Science and Engineering ,Shandong Normal University ,Ji′nan 250014 ,China ) |
| |
| Abstract: | This paper, by using the clustering of basic knowledge, according to different customer to purchase the commodity magnitude of similarity, using similarity instead of euclidean distance, the commodity network clustering analysis, divides the similarity in the types of goods, and according to the customer to purchase each group for each type of goods accounted for the proportion of the number of sorted goods, and thus provides the basis for commodity display. |
| |
| Keywords: | clustering K-means clustering algorithm similarity commodity display |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
