遇见数据集

Seaport Network Efficiency Score Clustering Data.xlsx

收藏
DataCite Commons2024-07-08 更新2024-08-19 收录
官方服务:

资源简介:

This data employed both Data Envelopment Analysis (DEA) and Fuzzy Data Envelopment Analysis (FDEA), incorporating triangular fuzzy number theory. The DEA and FDEA results, derived from three years of publicly available data (2018–2020), were utilized for clustering. Three clustering strategies were explored: k-means, hierarchical, and hierarchical k-means (hkmeans). These algorithms were implemented in RStudio using R programming to construct four new clusters, grouping 133 countries based on their seaport network efficiency data obtained from the DEA and FDEA analyses.

提供机构:
figshare
创建时间:
2024-06-30
二维码
社区交流群
二维码
科研交流群
商业服务