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LabelSOM: on the labeling of self-organizing maps
IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339), 2003Self-organizing maps are a prominent unsupervised neural network model providing cluster analysis of high-dimensional input data. However, in spite of enhanced visualization techniques for self-organizing maps, interpreting a trained map proves to be difficult because the features responsible for a specific cluster assignment are not evident from the ...
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Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes
2006We extend the self-organizing map (SOM) in the form as proposed by Heskes to a supervised fuzzy classification method. On the one hand, this leads to a robust classifier where efficient learning with fuzzy labeled or partially contradictory data is possible.
Villmann, T. +6 more
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μMap-Red: Proximity Labeling by Red Light Photocatalysis
Journal of the American Chemical Society, 2022James V Oakley +2 more
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Photoaffinity Labeling Chemistries Used to Map Biomolecular Interactions
Israel Journal of Chemistry, 2023Christina M Woo
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A Unified Model and Algorithms for Temporal Map Labeling
Algorithmica, 2020Andreas Gemsa +2 more
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Consistent dynamic map labeling with fairness and importance
Computer Aided Geometric Design, 2020Xiao Zhang +2 more
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Optimizing active ranges for consistent dynamic map labeling
Computational Geometry: Theory and Applications, 2010Martin Nöllenburg +2 more
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Towards unambiguous map labeling - Integer programming approach and heuristic algorithm
Expert Systems With Applications, 2018Alfredo Marin
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