k means algorithm implementation in MPI+OMP+CUDA

i need to implement this problem :

Given a set of points in 2-dimensional space. Initial position (xi, yi) and velocity (vxi, vyi) are known for each point Pi. Its position at the given time t can be calculated as follows:

xi(t) = xi + t*vxi

yi(t) = yi + t*vyi

Implement simplified K-Means algorithm to find K clusters. Find a first occurrence during given time interval [0, T] when a system of K clusters has a Quality Measure q that is less than given value QM.

Evner: Algoritme, C programmering, C++ Programmering, Matematik, Software Arkitektur

Se mere: k means code, k means cuda implementation, a parallel k-means clustering algorithm with mpi, parallel k-means data clustering, k means omp, k means gpu python, k means clustering python, parallel k-means clustering algorithm, matlab implementation means algorithm, means algorithm implementation, means algorithm implementation net, ant colony optimization algorithm implementation mpi, implementation means algorithm net, mpi algorithm implementation, apriori algorithm implementation, apriori algorithm implementation visual basic, algorithm implementation matlab, means clustering implementation java, distance vector algorithm implementation, means java implementation

Om arbejdsgiveren:
( 1 bedømmelse ) lod, Israel

Projekt ID: #16480674

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