Identifying industrial clusters through growth co-movement with unsupervised learning methods

Key Points

• Identifying growth co-movement significantly enhances understanding of industrial clusters and their dynamics.
• Key evidence shows clustering of growth among industries based on unsupervised learning techniques.
• Observational analysis utilizes unsupervised learning methods to discern economic patterns across different industries.
• This approach may enable more effective economic planning and policy-making regarding industrial development.