using kmeans function in parallel
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Jordi
el 15 de Mayo de 2013
Comentada: Marwan Radwan
el 2 de Oct. de 2016
Hi, I want to use kmeans function in parallel, with a matlabpool of workers. When I open a matlabpool and then execute kmeans with Useparallel = true, only 1 core is working. The default numbers of workers is 4. What is wrong? Should I put the execution of the kmeans function inside a spmd block? Thanks in advance,
Jordi
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Marwan Radwan
el 2 de Oct. de 2016
please i need this code and steps how to set useparallel i am new in matlab thank you alot
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Shashank Prasanna
el 15 de Mayo de 2013
Hi Jordi, when the 'useparallel' flag set to true, KMEANS only computes the replicates in parallel.
If you have your replicates set to 1 you are unlikely to see a performance difference.
Try setting a larger 'replicates' to compare the performance difference.
Replicates are used to run kmeans several times with different start point so as to have a better chance of finding a global minimum and better centroids.
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Thomas
el 15 de Mayo de 2013
Don't know if this would help but you can find an implementation of k-means in MATLAB using MATLABmpi (message passing interface) http://www.cs.toronto.edu/~dross/code/parallel.shtml
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