今年来,随着商品房火热的发展,商品房销售面积反映着各省富裕程度的表象特征。通过聚类分析算法来对我国现房和期房进行分类。根据聚类分析分析结果,可分为4个类:天津、河北、山西、内蒙古、河南、海南、贵州、云南、陕西为一类;辽宁、江苏为一类;上海、山东、吉林、黑龙江、湖北、湖南、广东、重庆、四川为一类;北京、浙江、安徽、福建、江西、广西、西藏、甘肃、青海、宁夏、新疆为一类;并根据分类结果,对商品销售提出建议。 This year, with the furious development of commercial housing, the sales area of ​​commercial housing reflects the appearance characteristics of wealthy provinces. By clustering analysis algorithm to classify the present and future housing in our country. According to the result of cluster analysis and analysis, it can be divided into four categories: Tianjin, Hebei, Shanxi, Inner Mongolia, Henan, Hainan, Guizhou, Yunnan and Shaanxi; Liaoning and Jiangsu are one of them; Shanghai, Shandong, Jilin, Heilongjiang, Hubei, Hunan, Guangdong, Chongqing and Sichuan. Beijing, Zhejiang, Anhui, Fujian, Jiangxi, Guangxi, Tibet, Gansu, Qinghai, Ningxia and Xinjiang are classified into one category. Based on the classification results, suggestions are made on the sales of commodities.