摘要
居民的购房意愿在整个宏观层面上影响着整个社会结构的变迁和转型。文中基于500份居民购房意愿调查问卷,利用主成分分析法提取了主要特征,对主成分序列建立了支持向量机分类模型。五折交叉验证结果表明:分类效果良好,对政府和房地产开发商进行客户细分、制定营销策略有一定的借鉴意义。
The intention of purchasing houses affects the social structure and the transformation of the whole society. 500 questionnaires are cited in this paper, and then the main features are extracted through principal component analysis, and the model of support vector machine classification for principal component sequence is built. The numerical experiments show that the classification is fine, which has some reference value in dealing with customer segmentation and marketing strategy for the government and the. real estate developers.
出处
《技术与创新管理》
2016年第5期544-546,共3页
Technology and Innovation Management
基金
国家统计局重点课题(2014LZ41)
关键词
购房意愿
主成分分析法
核函数
五折交叉验证
支持向量机分类
residents＇ willingness to purchase houses
principal component analysis
kernel function
5 -fold cross validation
support vector machine
