摘要
我国上市造纸企业的经营业绩良莠不齐,对其进行聚类分析可以揭示它们之间的差异和特点,为其制定有效的经营管理策略提供参考,以帮助企业提高经营效益。K-Medoids算法克服了K-Means容易受到异常值或畸形分布的影响导致分类不精确的缺点,抗干扰能力强,分类质量好。运用K-Medoids算法对我国部分上市造纸企业的经营业绩进行了聚类分析,15家公司的经营业绩被划分为6个类别,并对这些类别的整体经营业绩的优劣进行了排序。
The business performance of listed paper enterprises in China varies greatly.Cluster analysis can reveal their differences and characteristics,and provide reference for formulating effective management strategies to help enterprises improve their operational efficiency.The K-medoid algorithm overcomes the problem of K-means being easily affected by outliers or abnormal distributions,resulting in inaccurate and inaccurate classification.It has strong anti-interference ability and good classification quality.The K-medoid algorithm was used to perform cluster analysis on the operating performance of some listed paper enterprises in China.The operating performance of 15 companies was divided into 6 categories,and the overall performance of these categories was ranked based on their strengths and weaknesses.
作者
舒服华
Shu Fuhua(School of Economics of Wuhan University of Technology,Wuhan,Hubei 430070,China)
出处
《中华纸业》
2025年第8期24-28,共5页
China Pulp & Paper Industry
