This project implements the K-means clustering algorithm and Principal Component Analysis (PCA) for data clustering and dimensionality reduction. We also apply these techniques to image color quantization, where K-means is used to simplify the number of colors in an image. This process can be useful for compression and artistic rendering of images.
active 2025-01-10 → 2025-01-14 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 5 days from 2025-01-10 to 2025-01-14. Pushes: 16 total, peak 13 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| alfonsomayoral | 16 | 16 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.