https://github.com/mpellouin/imagecompressor

Second project of Epitech's functional programming module. The goal is to implement the K-means algorithm on a set of pixels given as input and output the clusters. Written in Haskell.
https://github.com/mpellouin/imagecompressor

2nd-year epitech functional haskell imagecompressor k-means k-means-clustering wolfram

Last synced: 8 days ago
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Second project of Epitech's functional programming module. The goal is to implement the K-means algorithm on a set of pixels given as input and output the clusters. Written in Haskell.

• Host: GitHub
• URL: https://github.com/mpellouin/imagecompressor
• Owner: mpellouin
• License: bsd-3-clause
• Created: 2022-06-22T21:38:56.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-08-11T13:10:39.000Z (over 2 years ago)
• Last Synced: 2024-11-24T02:19:02.932Z (2 months ago)
• Topics: 2nd-year, epitech, functional, haskell, imagecompressor, k-means, k-means-clustering, wolfram
• Language: Haskell
• Homepage:
• Size: 15.6 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: ChangeLog.md
  • License: LICENSE

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README

        
# ImageCompressor

## Caution

/!\ If you are an Epitech student you should be aware by now that cheating is forbidden. If you are going to copy paste this code, do it at your own risks.

## Introduction

This project is part of the Functional programming module. This project aims to help us realize our first real project in Haskell. The use of the K-Mean algorithms is necessary in order to clusterize our pixels.

## Grades

### Module grade

|Module Name | Grade |

|---|---|

| B4 - Functional Programming | A |

### Marks details

#### Automated tests

We managed to complete **96.2%** of the available tests.

details:

> Clusters tests: 41/43

>

> Error Handling: 4/4

>

> Coding Style: 4/4

#### Mark

The final mark was 19.2 out of 20.

## More

If you wish to see my other second year projects just go to my profile :)

Have a great day!