소개
This skill empowers Claude to perform sophisticated cluster analysis using industry-standard algorithms like K-means, DBSCAN, and hierarchical clustering. It automates the entire machine learning workflow—from data preprocessing and feature scaling to model execution and performance evaluation—allowing users to identify distinct segments, detect anomalies, and uncover hidden structures in their data. By generating and running optimized Python code, it provides immediate insights through both statistical metrics and visual artifacts like scatter plots.
