基于K-means聚类与空间相关性的零售户销售行为分析

零售活动作为城市商业活动的核心之一，对于城市经济水平的反映、消费者行为的把握具有重要作用。为了获取微观的消费者特征，本文基于贵阳零售店的营销数据，提出了更加微观的销售特征提取方式，利用K-means进行店铺分类和特征提取，验证了销售特征与实际销量之间的相关关系，并且在此基础上，开展了针对零售店的精准配货方式推荐，得到了可靠的试验结果。本文的研究能够对当前企业的控制型决策过程进行转变，能够根据市场表现实时的调整营销方案，有效提高社会经济效益。

The sales character analysis of retails based on K-means method and spatial correlation

Retail activities, as one of the cores of urban commercial activities, can efficiently reflect the city's economic level and consumer's consumption habits. To obtain consumer characteristics in micro-scale, this study makes use of the sales data of retail shops in Guiyang and propose the sales feature extraction methods to extract information through sales performance. The key characteristics of each store is found out existing fitting relationship with actual sale performance, based on which optimized allocation strategy for retail shops are carried out. The research in this paper can change the decision-making process of the current enterprise and improve the social-economic benefits.