Clustering Analysis
Group states based on disaster frequency and budget allocation using K-Means clustering
Avg Events
2.3
Avg Budget
264 Cr
States with fewer disaster events and lower budget allocations. Generally smaller states or those with lower historical disaster frequency.
Avg Events
7.6
Avg Budget
990 Cr
States with moderate disaster activity and proportional budget allocations. These states experience regular but manageable disaster events.
Avg Events
11.0
Avg Budget
3211 Cr
States with high disaster frequency and significant budget allocations. Priority states for disaster preparedness and response.
1Feature Selection
Two features are used: number of disaster events (2020-2025) and average SDRF budget allocation (2018-2025).
2Normalization
Features are normalized to a 0-1 scale to ensure equal weighting in distance calculations.
3K-Means Clustering
States are grouped into 3 clusters based on their Euclidean distance from cluster centroids.
4Insights
Clusters reveal natural groupings that can inform budget allocation strategies and disaster preparedness plans.
Budget Correlation
States with higher disaster frequency generally receive proportionally higher budget allocations, showing effective resource distribution.
High Activity Cluster
The high activity cluster includes states like Maharashtra and Rajasthan that face multiple disaster types requiring sustained attention.
Resource Optimization
Clustering helps identify states with similar needs, enabling shared disaster response strategies and resource pooling.