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. 2020 Oct 10;7:101093. doi: 10.1016/j.mex.2020.101093
Subject Area • Computer Science
More specific subject area: Unsupervised Machine Learning
Method name: Topographic Map Generation Using the Generalized Umatrix
Name and reference of original method Thrun, M. C., & Ultsch, A.: Swarm Intelligence for Self-Organized Clustering, Journal of Artificial Intelligence, in press, doi:10.1016/j.artint.2020.103237,2020.
Ultsch, A., Thrun, M.: Credible Visualizations for Planar Projections, Proc. Workshop on Self-Organizing Maps (WSOM), pp. 256–260, Nancy, 2017.
Thrun, M. C., Lerch, F., Lötsch, J., Ultsch, A.: Visualization and 3D Printing of Multivariate Data of Biomarkers, In: Skala, V. (Ed.): 24th Conf. on Computer Graphics, Visualization and Computer Vision, Plzen, pp. 7162016.
Ultsch, A.: Maps for the Visualization of high-dimensional Data Spaces, Proc. Workshop on Self organizing Maps (WSOM), pp. 225–230, Kyushu, Japan, 2003.
Ultsch, A., Siemon, H.P.: Kohonen's Self Organizing Feature Maps for Exploratory Data Analysis, In Proceedings Intern. Neural Networks, Kluwer Academic Press, Paris, pp. 305–308, 1990.
Resource availability https://CRAN.R-project.org/package=GeneralizedUmatrix