基于半监督非负矩阵分解的人流量分析

非负矩阵分解(Non-negative Matrix Factorization,NMF)由于可以保证矩阵分解的非负性,这符合许多实际问题的要求,比如遥感、生物信息等数据都具有非负性.而且其分解结果具有可解释性和明确的物理意义,因此在很多领域都有广泛的应用.将半监督非负矩阵分解应用于人流量统计数据处理,实验结果表明加入...

People Flow Analysis of Non-Negative Matrix Factorization for Semi-Supervision

Non-negative matrix factorization can guarantee the non-negative property of matrix factorization,it fits the requirements of many practical problems,such as remote sensing,biological information and other data,they are non-negative.Its factorized results own interpretability and clear physical meaning.Therefore it has wide applications in many fields. Non-negative matrix factorization for semi-supervision applied to people flow statistical data processing in this article,experimental results show that adding the constraints can be made good classification results.