geographic-clustering

What problem does it solve?

This Skill addresses the challenge of efficiently clustering large volumes of geo-located events, providing meaningful insights through risk scoring and identifying representative data points as map markers.

Core Features & Use Cases

• O(n) Geographic Clustering: Groups thousands of events rapidly using a grid-based approach, significantly outperforming traditional O(n²) distance-based methods.
• Medoid Finding: Identifies actual data points within clusters to serve as accurate map markers, avoiding synthetic centroids that might fall in invalid locations.
• Multi-Factor Risk Scoring: Calculates a risk score based on event density, sentiment, and recency, offering a nuanced understanding of potential issues.
• Use Case: Visualize thousands of social media posts or sensor readings on a map, highlighting areas with high event density, negative sentiment, and recent activity.

Quick Start

Use the geographic-clustering skill to process and cluster the provided event data, returning the top 50 risk predictions.