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clustering - Unlabeled Data Pattern Discovery

Group unlabeled data points using clustering, dimensionality reduction, and anomaly detection algorithms

Tags

Updated: 2026-03-20

Capabilities

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

Source

  • Spec: SKILL.md
unsupervised learning
clustering
dimensionality reduction
anomaly detection
data analysis
cluster data points
reduce data dimensions
detect data anomalies
validate cluster results
2D numeric array
cluster number
clustering method
cluster labels
cluster metrics
reduced dimensions