The Databionics ESOM Tools offer many data mining tasks using emergent self-organizing maps (ESOM). Visualization, clustering, and classification of high-dimensional data using databionic principles can be performed interactively or automatically. Its features include ESOM training, U-Matrix visualizations, explorative data analysis and clustering, ESOM classification, and creation of U-Maps.
|Operating Systems||OS Independent|
Release Notes: This release adds Hammig distance, new training strategies for speeding large datasets, and "tab" for calculating different error values to an existing map. Users are now asked to confirm overwriting when saving files. The add and subtract behavior of classmask floodfill has been fixed.
No changes have been submitted for this release.