Update:
This easiest way is to use the enthought python distribution. They already have MKL packaged within the software. But it seems to be slower than the version that i compiled.
The instruction on Scipy's website does not work with the newest version(10.3) of Intel MKL. With Intel MKL, one can have multi-thread support for many numerical functions. Note: if you want to enable multi-thread for MKL, set the os environment variable OMP_NUM_THREADS to the number of threads (e.g. number of cores) that MKL can use.
Continue reading "Numpy and Scipy with Intel MKL on Linux" »
Here are a few commonly used evaluation metric for clustering. I don't want to judge the individual metric here, as they show different aspects of the clustering quality.
Continue reading "Clustering evaluation for Numpy and Scipy" »
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