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This Repo contains a completed project using MPI to code a Kmeans clustering algorithm.

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README.md
README.md
 
 
cities40.dat
cities40.dat
 
 
cities60.dat
cities60.dat
 
 
cities80.dat
cities80.dat
 
 
kcenter.py
kcenter.py
 
 
mnist100.png
mnist100.png
 
 
mnist100.py
mnist100.py
 
 
mnist64.png
mnist64.png
 
 
mnist64.py
mnist64.py
 
 
mpi_farfirst_debug.key
mpi_farfirst_debug.key
 
 
mpi_farfirst_debug.out
mpi_farfirst_debug.out
 
 
mpi_farfirst_debug.sh
mpi_farfirst_debug.sh
 
 
mpi_farfirst_demo.out
mpi_farfirst_demo.out
 
 
mpi_farfirst_demo.sh
mpi_farfirst_demo.sh
 
 
mpi_farfirst_timing.out
mpi_farfirst_timing.out
 
 
mpi_farfirst_timing.sh
mpi_farfirst_timing.sh
 
 
mpi_kmeans.c
mpi_kmeans.c
 
 
mpi_kmeans_debug.key
mpi_kmeans_debug.key
 
 
mpi_kmeans_debug.sh
mpi_kmeans_debug.sh
 
 
mpi_kmeans_demo.out
mpi_kmeans_demo.out
 
 
mpi_kmeans_demo.sh
mpi_kmeans_demo.sh
 
 
mpi_kmeans_timing.out
mpi_kmeans_timing.out
 
 
mpi_kmeans_timing.sh
mpi_kmeans_timing.sh
 
 

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MPI-Kmeans-FarFirst

This project is very similar to the OpenMP Kmeans/Farfirst project in that the goal is to code a parallel implementation of the Kmeans clustering algorithm using the Farthest First center selection algorithm in addition in order to perform clustering and classification on a list of coordinate points from the .dat files.

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This Repo contains a completed project using MPI to code a Kmeans clustering algorithm.

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c mpi-applications parrallel

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