DIA Cluster 3D — Interactive PCA Visualization

Interactive three-dimensional principal component analysis (PCA) plot showing cluster separation in diabetes subtypes (SIDD, SIRD, MOD, MARD).

Interactive figure (click to open in browser)

Manuscript link: https://senoldogan.github.io/DIA-Cluster-3D/

If the link above returns 404, enable GitHub Pages once:
Repository Settings → Pages → Build and deployment → Deploy from branch → gh-pages / / (root) → Save

Alternative (works immediately):
https://htmlpreview.github.io/?https://raw.githubusercontent.com/SenolDogan/DIA-Cluster-3D/main/index.html

Drag to rotate · scroll to zoom · hover for cluster details.

Repository

https://github.com/SenolDogan/DIA-Cluster-3D

Manuscript citation

Supplementary Material S1. Interactive three-dimensional PCA plot of cluster separation. Available at: https://senoldogan.github.io/DIA-Cluster-3D/

See MANUSCRIPT_CITATION.txt for ready-to-paste text (Vancouver, APA, figure legend).

Regenerate locally

pip install plotly pandas scikit-learn
python create_pca_plot_3d_interactive.py

Requires Dataset.csv in the same directory (not included in this repository).