https://github.com/surajv311/image-compression-k-means-clustering

Application-based learning. Project on Image compression using K means clustering algorithm in Py.
https://github.com/surajv311/image-compression-k-means-clustering

Last synced: 7 months ago
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Application-based learning. Project on Image compression using K means clustering algorithm in Py.

• Host: GitHub
• URL: https://github.com/surajv311/image-compression-k-means-clustering
• Owner: Surajv311
• Created: 2020-06-11T15:13:05.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-09-22T16:47:48.000Z (about 5 years ago)
• Last Synced: 2025-01-21T00:28:18.878Z (9 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 4.75 MB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Image-Compression-K-means-clustering

Before cloning and running the project ensure that you have the necessary libraries installed in your environment.

You may install:


```conda install numpy ```


```conda install scikit-learn ```


```conda install matplotlib```


```conda install seaborn```


```pip install livelossplot```


K-means clustering algorithm used to compress the image. 


![img](https://github.com/Surajv311/Image-Compression-K-means-clustering/blob/master/result%20Image/image%20compressed.jpg)