Scalable semi-supervised dimensionality reduction with GPU-accelerated EmbedSOM. (arXiv:2201.00701v1 [cs.LG])

Dimensionality reduction methods have found vast application as visualization
tools in diverse areas of science. Although many different methods exist, their
performance is often insufficient for providing quick insight into many
contemporary datasets, and the unsupervised mode of use prevents the users from
utilizing the methods for dataset exploration and fine-tuning the details for
improved visualization quality. We present BlosSOM, a high-performance
semi-supervised dimensionality reduction software for interactive
user-steerable visualization of high-dimensional datasets with millions of
individual data points. BlosSOM …

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