Clustering Algorithm Runner

关于

This skill empowers Claude to perform sophisticated data clustering analysis, helping users uncover hidden patterns and groupings within their data. By automating the generation and execution of Python-based machine learning code, it handles everything from data preprocessing and scaling to the implementation of algorithms like K-means and DBSCAN. Whether analyzing customer segments or detecting network anomalies, the skill provides actionable insights through performance metrics like silhouette scores and clear visual representations, ensuring that data-driven decisions are backed by rigorous statistical analysis.

主要功能

• Integrated data preprocessing including scaling and normalization
• Visualization of clustering results using scatter plots and cluster labels
• 712 GitHub stars
• Performance metric calculation including silhouette scores and Davies-Bouldin index
• Automated execution of K-means, DBSCAN, and hierarchical clustering
• Parameter tuning to optimize results for specific dataset characteristics

使用场景

• Analyzing complex datasets to discover natural structural groupings
• Identifying anomalies and outliers in network traffic or security logs
• Segmenting customers into distinct groups based on behavioral or demographic data