clustering
CommunityCluster unlabeled data to reveal patterns.
Data & Analytics#data-analysis#cluster#anomaly-detection#dimensionality-reduction#unsupervised-learning#kmeans#dbscan
Authorpluginagentmarketplace
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Cluster unlabeled data to reveal underlying structure and groupings.
Core Features & Use Cases
- Unsupervised pattern discovery in large datasets to segment data without labels
- Dimensionality reduction and visualization for exploratory analysis
- Anomaly detection and outlier identification to improve data quality
- Use Case: preprocess customer data to identify segments for targeted campaigns
Quick Start
Provide a numeric dataset X as a 2D array to run k-means clustering and obtain cluster labels.
Dependency Matrix
Required Modules
pyyaml
Components
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: clustering Download link: https://github.com/pluginagentmarketplace/custom-plugin-machine-learning/archive/main.zip#clustering Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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