sylvaincom/C-for-data-science

C++ programming for Data Science. K-means clustering. K-nearest neighbor algorithm. Neural Networks.

C/C++ programming for Data Science

Authors:

• Sylvain Combettes, MSc candidate at Ecole des Mines de Nancy
• Julien Muller, MSc candidate at Ecole des Mines de Nancy

This repository is part of our report for the C/C++ lecture.

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.