MajidSalimi / Cuda_K-Means

Power aware implementation of K-Means algorithm on GPU

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Cuda_K-Means

Power aware implementation of K-Means algorithm on GPU

Usage: ./kmeans [switches] -i filename

-i filename      :file containing data to be clustered
-m max_nclusters :maximum number of clusters allowed    [default=5]
-n min_nclusters :minimum number of clusters allowed    [default=5]
-t threshold     :threshold value                       [default=0.001]
-l nloops        :iteration for each number of clusters [default=1]
-b               :input file is in binary format
-r               :calculate RMSE                        [default=off]
-o               :output cluster center coordinates     [default=off]

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Power aware implementation of K-Means algorithm on GPU

License:Apache License 2.0


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Language:C 81.4%Language:Cuda 15.3%Language:Makefile 3.3%