using kmeans function in parallel
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Jordi
le 15 Mai 2013
Commenté : Marwan Radwan
le 2 Oct 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
le 2 Oct 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
le 15 Mai 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
le 15 Mai 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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