running-clustering-algorithms
Segment data with clustering algorithms such as K-means, DBSCAN, or hierarchical clustering. Use for unsupervised grouping and cluster diagnostics, not supervised classification or publication-figure ownership.
npx skills add majiayu000/claude-skill-registry --skill running-clustering-algorithms --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Clustering Algorithm Runner Use this skill when the main question is how to group unlabeled data points. ## Overview This skill covers algorithm choice, preprocessing implications, cluster validation, and interpretation for unsupervised segmentation problems. ## When to Use This Skill - Customer segmentation, cohort discovery, or grouping unlabeled records - Choosing between centroid, density, or hierarchical clustering - Reviewing silhouette score, Davies-Bouldin, or cluster stability ## Not For / Boundaries - Supervised prediction with labels: use `training-machine-learning-models` - Pure anomaly review without clustering as the central method: use `anomaly-detector` - Final narrative report packaging: use `scientific-reporting` ## Typical Outputs - Algorithm recommendation with parameter guidance - Cluster-assignment workflow - Validation and interpretation notes for cluster quality ## Related Skills - `creating-data-visualizations` for exploratory plots of cluster structure - `anomaly-detector` when outliers become the next question
- Overview
- When to Use This Skill
- Not For / Boundaries
- Typical Outputs
- Related Skills
What does the running-clustering-algorithms skill do?
Segment data with clustering algorithms such as K-means, DBSCAN, or hierarchical clustering. Use for unsupervised grouping and cluster diagnostics, not supervised classification or publication-figure ownership.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill running-clustering-algorithms --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.