利用聚类分析算法研究对地区销售进行特征分析以分析出有共同销售特征的地区群体,选出销售最优最稳定的地区,策划销售计划,可以提升客户对企业的满意度,挖掘潜在市场,以及提高企业的知名度、收入。文章介绍了数据挖掘中的聚类分析算法在家具行业地域销售特征的使用,选用K-means算法对不同地区的客户群体进行聚类筛选,并做出了实验分析。 Using cluster analysis algorithm to analyze the characteristics of regional sales to analyze the regional groups with the characteristics of co-sales, selecting the regions with the most stable sales and planning the sales plan, which can improve customer satisfaction with the business, tap the potential market, As well as enhance the visibility of enterprises, income. This paper introduces the use of cluster analysis algorithm in data mining in the regional sales of furniture industry, selects K-means algorithm to cluster customers in different regions and makes experimental analysis.