clustering - Unsupervised Data Clustering
Discover patterns in unlabeled data using clustering, dimensionality reduction, and anomaly detection
Tags
Updated: 2026-03-20Capabilities
Typical Inputs
Typical Outputs
What this skill does
- cluster data
- reduce dimensions
- detect anomalies
- validate clusters
- find optimal k
Inputs
- numeric data array
- cluster count
- clustering method
Outputs
- cluster labels
- silhouette score
- calinski score
Requirements
- scaled numerical features
- 2D array input