Hi all,

I try to parallel the k-mean cluster algorithm to get a faster one with mpi....

i work on real data set, the data contain 1030 row (instances) and 8 column

First time - master send data and center to other processors and the all
processors make distance computation between all row and three centers to decide the class of each row.

then the
processors will be send the class of each row to master

the now compute the new centers and the send there to other
all
processors fo re-compute the
distance.......etc

but i have problem .... when the
compute the new centers i send the new centers to
all
processors but i feel that
all
processors does not receive

the
new centers?? so what is the problem

can you help me ??

my code here>>

http://www.4shared.com/file/mFqFrEQB/MPI_p-k-mean.html

thanks