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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.

License: BSD 3-Clause "New" or "Revised" License

Makefile 5.40% Haskell 94.60%
2nd-year epitech functional haskell imagecompressor k-means k-means-clustering wolfram

imagecompressor's Introduction

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!

imagecompressor's People

Contributors

flackho avatar mpellouin avatar

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