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Gayatri7Mehta/Image_Compression_using_KMeans_clustering

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The project highlights the effectiveness of K-means clustering as a method for image compression. By reducing the number of colors in an image, it showcases how data clustering techniques can be leveraged to significantly decrease file sizes while preserving visual representation to a reasonable extent.

active 2024-01-012024-01-01 (UTC)

Complete coverage26,533 / 26,533 hourly files (100%) · 2 absent upstream2023-08-152026-08-24 (UTC)
Events
2
Pushes
1
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2024-01-01 to 2024-01-01. Pushes: 1 total, peak 1 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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  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
Gayatri7Mehta1100

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.