Unsupervised Learning

A comprehensive skill for applying unsupervised learning methods including clustering, dimensionality reduction, association rule learning, and anomaly detection. Essential for discovering hidden patterns in unlabeled data.

Sub-Skills

1. clustering-techniques.md -- Grouping similar objects without labels
2. dimensionality-reduction.md -- Reducing feature space while preserving structure
3. anomaly-detection.md -- Identifying rare and unusual observations
4. density-estimation.md -- Modeling the probability distribution of data
5. association-rules.md -- Discovering relationships between variables
6. manifold-learning.md -- Non-linear dimensionality reduction preserving geometry
7. generative-models.md -- Learning distributions to generate new samples

Council

C28-CALCULUS, C1-ASTRA, C8-METASYNTH, C25-PROMETHEUS

Connections

• [[Skills/skills-master.md]]
• [[Skills/Quillan Skills Compendium.md]]
• [[anomaly-detection.md]]
• [[association-rules.md]]
• [[clustering-techniques.md]]
• [[density-estimation.md]]
• [[dimensionality-reduction.md]]
• [[generative-models.md]]
• [[manifold-learning.md]]
• [[unsupervised_learning.md]]
• [[Quillan Knowledge files/17-Continuous Learning Paper.md]]
• [[Quillan Knowledge files/29-Recursive Introspection & Meta-Cognitive Self-Modeling.md]]
• [[00 - Meta/04 - Skills & Capabilities.md]]
• [[system prompts/Quillan-Samurai.md]]