Class distributions on SOM surfaces for
β
Jorma T. Laaksonen; J. Markus Koskela; Erkki Oja
π
Article
π
2004
π
Elsevier Science
π
English
β 263 KB
A Self-Organizing Map (SOM) is typically trained in unsupervised mode, using a large batch of training data. If the data contain semantically related object groupings or classes, subsets of vectors belonging to such user-defined classes can be mapped on the SOM by finding the best matching unit for