https://github.com/sylvaincom/c-for-data-science
C++ programming for Data Science. K-means clustering. K-nearest neighbor algorithm. Neural Networks.
https://github.com/sylvaincom/c-for-data-science
kmeans-clustering knearest-neighbor-algorithm neural-network
Last synced: 4 months ago
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C++ programming for Data Science. K-means clustering. K-nearest neighbor algorithm. Neural Networks.
- Host: GitHub
- URL: https://github.com/sylvaincom/c-for-data-science
- Owner: sylvaincom
- Created: 2019-12-17T13:58:04.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2020-01-27T01:18:42.000Z (almost 6 years ago)
- Last Synced: 2025-04-04T10:51:21.421Z (8 months ago)
- Topics: kmeans-clustering, knearest-neighbor-algorithm, neural-network
- Language: C++
- Homepage:
- Size: 624 KB
- Stars: 4
- Watchers: 1
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# C/C++ programming for Data Science
Authors:
- [Sylvain Combettes](https://www.linkedin.com/in/sylvain-combettes), MSc candidate at Ecole des Mines de Nancy
- [Julien Muller](https://fr.linkedin.com/in/julien-muller-9b3a77166), MSc candidate at Ecole des Mines de Nancy
This repository is part of our report for the [C/C++ lecture](https://www.depinfonancy.net/cours-%C3%A9lectifs/ces7aj).
### Table of contents of this repository:
- Our report in French `rapport.pdf` is to be read first.
- The `kmeans` folder contains our own code for the K-means clustering.
- The `kNN` folder contains our own code for the K-nearest neighbor algorithm.
- The folder `NN-tutorial-miller` is meant to be read before the folder `NN-iris-data`. We run a code for simulating a neural network in C/C++ for XOR data and adapt it to the Iris data set.