About: Somoclu is a massively parallel implementation of self-organizing maps. It relies on OpenMP for multicore execution, MPI for distributing the workload, and it can be accelerated by CUDA on a GPU cluster. A sparse kernel is also included, which is useful for training maps on vector spaces generated in text mining processes. Apart from a command line interface, Python, Julia, R, and MATLAB are supported.

• New: A Makefile for mingw to build on Windows.
• Changed: PR #94 added a much more efficient sparse kernel.
• Changed: boilerplate code for Julia greatly improved.
• Changed: Code cleanup, pre-processor macros simplified.
• Changed: Adapted to Seaborn API changes in plotting heatmaps.

About: Distributed optimization: Support Vector Machines and LASSO regression on distributed data

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