This is an unsupervised learning project with Python Notebook. The main purpose is to help manufacturing companies, such as Nike and Tesla, find suitable cities to build factories.

Dataset: Movehub City Rankings Reference: Blitzer. (2017). Movehub City Rankings. https://www.kaggle.com/blitzr/movehub-city-rankings

Clusterability:
Hopkin's statistics
t-SNE plot

Algorithms:
Hierarchical Clustering (complete linkage and average linkage)
k-means
Fuzzy c-means

Evaluation:
Silhouette plot
Boxplot

In addition to quantitative data, issues such as local policies and public sentiment are also worthy of consideration.