clustering - Unlabeled Data Pattern Discovery
Group unlabeled data points using clustering, dimensionality reduction, and anomaly detection algorithms
Tags
Updated: 2026-03-20Capabilities
Typical Inputs
Typical Outputs
What this skill does
- cluster data points
- reduce data dimensions
- detect data anomalies
- validate cluster results
- find optimal clusters
- transform data
Inputs
- 2D numeric array
- cluster number
- clustering method
Outputs
- cluster labels
- cluster metrics
- reduced dimensions
- anomaly predictions
- validation scores
Requirements
- sklearn library
- numpy array
