A project that involved C programming. Where we made use of parallel implementations of OpenMPI and Cuda. We compared the performance of these two and attempted to perform K Means and Fuzzy C Means clustering on synthetic data.

Fast fuzzy clustering C (MEX API) implementation for MATLAB (FCM, Gustafson-Kessel, clustering validity, fuzzy partition matrix extrapolation)

Fuzzy C Mean Clustering on IRIS Dataset implemented in C.