基于双聚类的分销策略案例研究

Hyoin Seo, Wonil Hwang, B. Hyun, Jae-Dong Son
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引用次数: 0

摘要

双聚类是一种分析方法,通过补充广泛使用的聚类分析方法的缺点,使您能够找到更多有用的信息。每个对象中包含的变量越多,越适合使用,在当前包含各种变量的数据不断积累的环境中,其优势更能凸显出来。在本研究中,我们使用双聚类来分析数据,并提出目前在分销行业中使用的策略。本研究的目的是提出一个双聚类可以用于分销行业的案例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Case Study on Distribution Strategy through Biclustering
Biclustering is an analytical method that allows you to find more useful information by supplementing the shortcomings of widely used cluster analysis methods. The more variables included in each object, the more suitable it is to use, and the advantages can be more highlighted in the current environment where data including various variables is accumulated. In this study, we use Biclustering to analyze data and propose strategies that are currently used in the distribution industry. The purpose of this study is to present a case where Biclustering can be used in the distribution industry.
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