K-means聚类算法在企业环境效率评价的应用及R语言实现

Application of K-means Clustering Algorithm in Measuring Enterprise Environmental Performance and Statistical Using R

根据环境影响评价因子筛选的要求，构建新的企业环境效率评价指标体系．以佛山市企业作为研究对象，利用R语言对其进行K—means的聚类，结果表明该指标体系能够有效的将企业分为8类，分别为：一般性污染企业、危险废物产生企业、废气（SO^2、NOX）污染严重企业、烟尘废气污染严重企业、固废污染严重企业、废气废水设备投入大的绿色企业、废水污染严重企业、废气废水均污染严重企业．

According to the requirements of environmental impact assessment factor screen- ing, a new enterprise environmental efficiency evaluation index system is established. This pater takes the enterprises in Foshan as the research object and uses R language to carry out K-means clustering. The result shows that the index system effectively divides the enterprises into eight categories, namely： general polluting enterprises, hazardous waste generation enterprises, waste gas （SO2, NOX） heavily polluting enterprises, smoke and dust and waste gas heavily polluting enterprises, solid waste heavily polluting enterprises, green enterprises with high input of waste gas and waste water treatment equipment, waste water heavily polluting enterprises, both waste water and waste gas heavily polluting enterprises.