Computation application for the k-means algorithm is an unsupervised clustering technique that organizes data into clusters based on similarity. It iteratively assigns data points to centroids and recalculates centroids based on the average of assigned points until the variance between points and centroids is minimized.
active 2024-04-08 → 2024-04-23 (UTC)
Activity over time
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Line chart, 16 days from 2024-04-08 to 2024-04-23. Pushes: 10 total, peak 2 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.
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| edendenis | 10 | 10 | 0 | 0 |
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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.