ESOM-MAP swMATH ID: 12044 Software Authors: Ultsch, A., Morchen, F. Description: ESOM-MAP: tools for clustering visualization and classification with emergent SOM. The Databionic ESOM Tools is a suite of programs to perform data mining tasks like clustering, visualization, and classification with Emergent Self-Organizing Maps (ESOM). Features include: Training of ESOM with different initialization methods, training algorithms, distance functions, parameter cooling strategies, ESOM grid topologies, and neighborhood kernels. Visualization of high dimensional dataspace with U-Matrix, P-Matrix, Component Planes, SDH, and more. Animated visualization of the training process. Interactive, explorative data analysis and clustering by linking ESOM to the training data, data classifications, and data descriptions. Creation of ESOM classifier and automated application to new data. Creation of non-redundant U-Maps from toroid ESOM. Homepage: http://databionic-esom.sourceforge.net/ Related Software: R; kohonen; SOM; tm; Matlab; fastcluster; rapidminer; PyMVPA; Rcpp; LIBSVM; Thrust; Lucene; somoclu; GTM; LilyPond; MA Toolbox; Marsyas; TeX; LaTeX; jAudio Cited in: 4 Documents Further Publications: http://databionic-esom.sourceforge.net/pub.html all top 5 Cited by 11 Authors 2 Bouazizi, M.-L. 2 Bouhaddi, Noureddine 2 Ghanmi, Samir 1 Douligeris, Christos 1 Guedri, Mohamed 1 Komninos, Nikos 1 Ligges, Uwe 1 Mitrokotsa, Aikaterini 1 Mörchen, Fabian 1 Müllensiefen, Daniel 1 Weihs, Claus Cited in 4 Serials 1 European Journal of Mechanics. A. Solids 1 International Journal of Computer Research 1 Advances in Data Analysis and Classification. ADAC 1 International Journal for Computational Methods in Engineering Science and Mechanics Cited in 5 Fields 2 Mechanics of deformable solids (74-XX) 1 General and overarching topics; collections (00-XX) 1 Statistics (62-XX) 1 Computer science (68-XX) 1 Operations research, mathematical programming (90-XX) Citations by Year