K-Means algorithm parallelized in CUDA
Before trying to execute both sequential and parallel version of k-means algorithm it is important to extract 'datapoints.zip' in the same folder of the codes.
The parameters will be initialized according to user choices after the execution start.
If you want to visualize the results you need to create in the same folder of the code a directory named 'outdir', execute your simulation and then take the file 'clusters.csv' from 'outdir', which must be used in the python script 'cluster_displayer.py'.
sequential compiler line on linux: g++ -o kmeans_sequential kmeans_sequential.cpp
parallel compiler line on linux: nvcc kmeans_parallel.cu -o kmeans_parallel
by Brisudova Natasa, Graziuso Natalia, Lazzeri Sean Cesare