聚类技术优选法在铁路客运服务指标分析中的应用

Application of Clustering Optimum-seeking Method on Analysis of Service Index for Railway Passenger Transportation

不同聚类技术具有不同的原理和特征,需要对其进行比较优选。提出在铁路客运服务指标分析中,采用聚类效果测度系数方法,并将结果与基于列联表的公共信息方法相互印证,评价并优选聚类技术。实证分析表明,该评价方法简单易行,评价结果符合实际情况。

Different clustering technologies have diversified principles and characteristics, which need comparison optimum and optimization. The essay suggests that the method of estimating coefficient by clustering effect shall be applied in the analysis on service index of railway passenger traffic, then the results and the public information method based on contingency table shall be mutually confirmed to estimates and optimizes the clustering technology. Demonstration and analysis indicate that the evaluation method is simple and feasible, its results accords with actual conditions.