ds-unsupervised-learning
CommunityDiscover structure via clustering and reduction.
Data & Analytics#visualization#clustering#anomaly-detection#dimensionality-reduction#unsupervised-learning#recommender-systems
AuthorPhife726
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Discover structure in unlabeled data by identifying clusters, reducing dimensionality for visualization, and generating simple recommendations to illuminate hidden patterns.
Core Features & Use Cases
- Clustering: K-Means, hierarchical, and density-based methods to segment datasets and reveal natural groupings.
- Dimensionality Reduction: PCA, t-SNE, and UMAP to compress features and visualize high-dimensional data.
- Recommendation Foundations: Build basic item-to-user or item-to-item recommendations from unlabeled data; prototype hybrid strategies with minimal supervision.
Quick Start
Cluster this dataset using K-Means and visualize the first two principal components.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: ds-unsupervised-learning Download link: https://github.com/Phife726/ds_agent/archive/main.zip#ds-unsupervised-learning Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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