计算机应用研究2016，Vol.33Issue(10)：2926-2928,3.DOI:10.3969/j.issn.1001-3695.2016.10.011
基于近邻传播聚类的铁路客运节点类别划分
Classification of railway passenger transport nodes based on affinity propagation cluster
摘要
Abstract
To simplify the problem of optimizing passenger line plan,this paper adopted clustering method to classify railway passenger transport nodes.The method selected 100 top passenger transport nodes in order of daily passenger dispatch volumes in 2014 as an example,and took classifying foundation of passenger transport nodes as property variables.Firstly,it clustered property variables by hierarchical clustering,and clustered passenger transport nodes samples by affinity propagation algorithms according to the simplified nodes indexes.Finally,it analyzed three clustering effectiveness indexes contained CH,KL and IGP indexes to the clustering consequence.The result shows that it is of the best effect while the 100 passenger transport nodes men-tioned above are divided into 5 sorts,and it lays a foundation for the design of passenger train plan.关键词
铁路客运节点/类别划分/聚类分析/近邻传播算法/IGP指标Key words
passenger transport nodes/classification/cluster analysis/affinity propagation algorithms/in-group proportion index分类
交通工程引用本文复制引用
王文宪,吕红霞..基于近邻传播聚类的铁路客运节点类别划分[J].计算机应用研究,2016,33(10):2926-2928,3.基金项目
国家自然科学基金资助项目（61273242，61403317）；中国铁路总公司科技研究计划资助项目 （）
