Inferring Behavior Patternsby Location Data Using PCA Algorithm

• 作 者: Heng Song Genke Yang Changchun Pan
• 机 构: SchoolofElectronic,InformationandElectricalEngineering,ShanghaiJiaotongUniversity,Shanghai200240,Chi
• 出 处: 2013中国自动化学会华东六省一市年会(CETCU 2013)
• 发表日期: 2013年10期
• 关键词: Principal Component Analysis algorithm Eigen behavior Behavior reconstruction so

　　The analysis of human behavior and dynamics of groups from various datasets becomes a promising and challenging domain.In this paper, we present anapplication of Principal Component Analysis (PCA) in modeling human daily activity based on a dataset from MIT Reality Mining Project.Furthermore, this paper compares real-time data from mobile phones with standard survey data.Also, group networksare inferred from different type of data mentioned above.