MaTEx is a collection of high performance parallel machine learning and data mining (MLDM) algorithms, targeted for desktops, supercomputers and cloud computing systems. MaTEx provides a handful of widely used algorithms in Clustering, Classification and Association Rule Mining (ARM). As of current release it supports K-means, Spectral Clustering algorithms for Clustering, Support Vector Machines, KNN algorithms for Classification, and FP-Growth for Association Rule Mining.
MaTEx uses state-of-the-art programming models such as Message Passing Interface (MPI) and Global Arrays (GA) for targeting massively parallel systems readily available on modern desktops, supercomputers and cloud computing systems.
MaTEx bundles required software for parallel computing such as mpich-3.1 and Global Arrays-5.3. These package are automatically built, if they are not found on your system. Please refer to the support page for more details.
The INSTALL file contains the generic instructions for building any configure-based software.
We have provided a build.sh file in the current directory which will automate some of the installation of dependencies (the bundled MPI and GA packages) as well as the installation of MaTEx. If the build.sh is successful, you will have a ./bin directory containing the binaries for the various tools MaTEx provides.
Email matex-users@googlegroups.com for all questions/bugs/requests.