scientific-pca-tsne
CommunityVisualize high-D data with PCA, t-SNE, and UMAP.
Authornahisaho
Version1.0.0
Installs0
System Documentation
What problem does it solve?
High-dimensional data visualization and exploration are challenging; this skill provides dimensionality-reduction methods to map data into 2D/3D spaces for clearer structure interpretation and pattern discovery.
Core Features & Use Cases
- PCA for linear dimensionality reduction and interpretable variance contributions.
- t-SNE and UMAP for nonlinear embeddings that preserve local/global structure.
- Use cases include visualizing chemical space, material feature landscapes, and multi-technique data fusion to identify clusters and trends.
Quick Start
Apply PCA, t-SNE, and UMAP to your dataset to generate 2D/3D embeddings and visualize the results.
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: scientific-pca-tsne Download link: https://github.com/nahisaho/satori/archive/main.zip#scientific-pca-tsne Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.