Clustering for Item Delivery Using Rule-K-Means

M. R. Yudhanegara, S. Indratno, R. N. Sari
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引用次数: 10

Abstract

In this paper, we introduce an alternative approach as model for cluster analysis. The data were analyzed by rule-k-means algorithm. It's combine between k-means algorithm and rules. As an application, we use the simulate of item delivery data to classify items based on destination addresses. The goal is to map the item based on type of delivery vehicle. The clustering can be used as a recommendation to the item delivery service company.
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使用规则- k - means的物品投递聚类
在本文中,我们介绍了一种替代方法作为聚类分析的模型。数据采用规则k均值算法进行分析。它是k均值算法和规则的结合。作为一个应用程序,我们使用物品交付数据的模拟来根据目的地地址对物品进行分类。目标是根据交付车辆的类型映射项目。聚类可以用作对物品递送服务公司的推荐。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
0.70
自引率
33.30%
发文量
20
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