[test by reto]
|Authors:||Peter Wittek, Shi Chao Gao, Ik Soo Lim, Li Zhao|
|Title:||somoclu: An Efficient Parallel Library for Self-Organizing Maps|
|Abstract:||somoclu is a massively parallel tool for training self-organizing maps on large data sets written in C++. It builds on OpenMP for multicore execution, and on MPI for distributing the workload across the nodes in a cluster. It is also able to boost training by using CUDA if graphics processing units are available. A sparse kernel is included, which is useful for high-dimensional but sparse data, such as the vector spaces common in text mining workflows. Python, R and MATLAB interfaces facilitate interactive use. Apart from fast execution, memory use is highly optimized, enabling training large emergent maps even on a single computer.|
Page views:: 4340. Submitted: 2014-04-23. Published: 2017-06-09.
somoclu: An Efficient Parallel Library for Self-Organizing Maps
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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.