Research on Classification of Emergency Materials Based on Improved K-Means Clustering and POS Algorithm

To improve the emergency rescue efficiency of emergent events,the scientificity of classification method of emergency materials is one of the key links in distribution.Based on the analysis of existing problems in emergency classification method and clustering algorithm,the classification method of emergency materials based on improved K-means is proposed to set up the particle swarm optimization algorithm on the basis of K-means clustering algorithm.Finally,206kinds of emergency materials have been analyzed and Matlab software is used to calculate.The results show that POS algorithm based on K-means is superior to other clustering algorithm,and it can provide theory basis for the decision-maker.