Growing Hierarchical Sectors on Sectors
José M. Martínez-Villena, Pablo Escandell-Montero, Emilio Soria‐Olivas, José D. Martín‐Guerrero, Juan Gómez‐Sanchís, Joan Vila‐Francés · The European Symposium on Artificial Neural Networks · 2011
Self-organizing maps are widely used in visual data mining. This paper proposes a new visualization approach for GHSOM algorithm, a hierarchical variant of SOM. The method is based on pie charts. That improves the visualization in hierarchical data structures making possible to extract all the existing relationships among the attributes of the neurons at any hierarchy level. The methodology is tested in one synthetic data set and one real data set. Achieved results show the suitability and usefulness of the proposed approach.