The K-Means Clustering Project is an exploration of the K-means clustering algorithm, a powerful unsupervised learning technique used to identify natural groupings within data. This project delves into the core concepts of K-means clustering, including centroid initialization, iterative assignment, centroid update, and convergence.
active 2024-01-29 → 2024-03-22 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 54 days from 2024-01-29 to 2024-03-22. Pushes: 8 total, peak 7 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 1 total, peak 1 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 |
|---|---|---|---|---|
| buharialiyujhn | 8 | 8 | 0 | 0 |
| HBSDLJZ | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
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.