Data Analysis: EmbedSOM's party trick

Tired of trying to waiting for tSNE to run on large data sets? What if we could run any dimensionality reduction approach, but in a fraction of the time? Well, with EmbedSOM from Mirek Kratochvil, you can. Let's look at how this works.The basic approach of EmbedSOM is to create an embedding (dimensionality reduction) based on a self-organizing map (SOM) of the data. We saw two different versions of this in the post on dimensionality reductions, both the standard SOM and the improved growing quad

Colibri Cytometry