By Barbara Hammer, Andrej Gisbrecht, Alexander Hasenfuss, Bassam Mokbel (auth.), Jorma Laaksonen, Timo Honkela (eds.)
This ebook constitutes the refereed lawsuits of the eighth foreign Workshop on Self-Organizing Maps, WSOM 2011, held in Espoo, Finland, in June 2011. The 36 revised complete papers awarded have been rigorously reviewed and chosen from a variety of submissions. The papers are prepared in topical sections on plenaries; monetary and societal functions; concept and technique; functions of knowledge mining and research; language processing and rfile research; and visualization and picture processing.
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Extra info for Advances in Self-Organizing Maps: 8th International Workshop, WSOM 2011, Espoo, Finland, June 13-15, 2011. Proceedings
They generally group ASL and AO from diﬀerent regions; a partial exception to this rule is provided by cluster 2 that includes 53% of units from the region Emilia Romagna (EMROM). This could be of particular importance, because it points on the existence of ﬁnancial diﬀerences among public health care providers belonging to the same region. This, in turn, suggests that greater eﬃciency could be reached by operating on the allocation of public fundings at regional level. Finally, the organization of clusters provides information at technical level too, suggesting that wraparound grid topologies (either toroidal or cylindric) could reach more satisfying results.
61, 241–254 (1989) 2. : Contextual relations of words in Grimm tales, analyzed by self-organizing maps. , Gallinari, P. ) Proc. ICANN 1995, Int. Conf. on Artiﬁcial Neural Networks, vol. II, pp. 3–7. EC2, Nanterre, France (1995) 3. : Self-Organizing Maps, 3rd edn. Springer, Heidelberg (2001) 4. : Contextually Self-Organized Maps of Chinese Words. TKK Reports in Information and Computer Science, TKK-ICS-R30. fi/en/research/publications) 5. : Contextually Self-Organized Maps of Chinese Words. Part II, TKK Reports in Information and Computer Science, TKK-ICS-R35.
5. 417 Fuzzy Clustering of the SOM: Some Applications on Financial Time Series 47 right side of the map (cluster D), a crisis cluster in the upper-left part (cluster C), and a slight early-warning and a pre-crisis cluster in the lower-left part (cluster B and A). 4 Fuzzy Clustering of the Currency Crisis Model Similarly as for the benchmarking model, the reference vectors from the crisis model were used as input for a second–level clustering, whereafter the membership degrees and the defuzzification is visualized in SOMine.
Advances in Self-Organizing Maps: 8th International Workshop, WSOM 2011, Espoo, Finland, June 13-15, 2011. Proceedings by Barbara Hammer, Andrej Gisbrecht, Alexander Hasenfuss, Bassam Mokbel (auth.), Jorma Laaksonen, Timo Honkela (eds.)