Visualisations for Comparing Self-organising Maps
نویسندگان
چکیده
Self-organising Maps (SOMs) are a very useful method for exploring and analysing large data collections: They project high-dimensional data into a low-dimensional output space so that it is easier to analyse for humans than the original data. For the purpose of analysis, plenty of visualisations exist which display different aspects and properties of the maps and the data. There are, however, very few visualisations for directly comparing two or more SOMs with each other. This work tries to rectify that by introducing three visualisations to compare SOMs trained on the same dataset with different parameters, to find out where the data comes to lie on each map and assess the stability and quality of the projections.
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