Advances in Self-Organizing Maps: 8th International by Barbara Hammer, Andrej Gisbrecht, Alexander Hasenfuss,

By Barbara Hammer, Andrej Gisbrecht, Alexander Hasenfuss, Bassam Mokbel (auth.), Jorma Laaksonen, Timo Honkela (eds.)

This booklet constitutes the refereed court cases of the eighth overseas Workshop on Self-Organizing Maps, WSOM 2011, held in Espoo, Finland, in June 2011. The 36 revised complete papers offered have been rigorously reviewed and chosen from a number of submissions. The papers are geared up in topical sections on plenaries; monetary and societal functions; idea and technique; functions of knowledge mining and research; language processing and record research; and visualization and snapshot 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

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8 08... 011 8 3 Fig. 3. 8 27... 7 94... 8 76... 0 and c-value of 8 Fig. 2. It clearly shows the higher crispness of the clusters in (a) vis-à-vis the higher fuzziness of (b). The right map in Fig. 3. 0, while the left shows a defuzzification using maximum memberships. It shows that most of the clusters of the FCM model coincide with the clustering of the original map. For example, the best in class clusters (A and B in Fig. 1) largely coincide with clusters 1 and 2 in Fig. , Fuzzy Clustering of the SOM: Some Applications on Financial Time Series 45 only partially overlapping each other and not really any other clusters.

On the Impact of the Metrics Choice in SOM Learning: Some Empirical Results from Financial Data. C. ) KES 2010. LNCS, vol. 6278, pp. 583–591. Springer, Heidelberg (2010) 16. : A tool for filtering information in complex systems. PNAS 102(30), 10421–10426 (2005) 17. : The Concentration of Fractional Distances. IEEE Trans. on Knowledge and Data Engineering 19(7), 873–886 (2007) 18. : SOM Toolbox for Matlab 5. fi Abstract. The Self-organizing map (SOM) has been widely used in financial applications, not least for time-series analysis.

Section 5 concludes. 2 Problem Statement and Data Description The Italian health system assumes that health services can be provided both by public and private structures, the former essentially totally funded. 32 M. Resta Here the term public identifies two kind of structures: Aziende Sanitarie Locali (ASL) and Aziende Ospedalierie (AO). The main difference between the two enterprises stands in the fact that while AO are generally single structures (namely: hospitals), ASL, on the other hand, are more composite, since, by definition of law, they can include more than one local (regional, district, municipal) units that provide health care to citizens.

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