clustering analysis
✓Identify groups and patterns in data using k-means, hierarchical clustering, and DBSCAN for cluster discovery, customer segmentation, and unsupervised learning
Installation
SKILL.md
Clustering partitions data into groups of similar observations without pre-defined labels, enabling discovery of natural patterns and structures in data.
Identify groups and patterns in data using k-means, hierarchical clustering, and DBSCAN for cluster discovery, customer segmentation, and unsupervised learning Source: aj-geddes/useful-ai-prompts.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill clustering analysis Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Security certified for safe and reliable code One-click installation with simplified configuration Compatible with Claude Code, Cursor, and more
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill clustering analysis- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is clustering analysis?
Identify groups and patterns in data using k-means, hierarchical clustering, and DBSCAN for cluster discovery, customer segmentation, and unsupervised learning Source: aj-geddes/useful-ai-prompts.
How do I install clustering analysis?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill clustering analysis Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/aj-geddes/useful-ai-prompts
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-01