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129
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ESANN
1998
15 years 4 months ago
Recurrent SOM with local linear models in time series prediction
Recurrent Self-Organizing Map (RSOM) is studied in three di erent time series prediction cases. RSOM is used to cluster the series into local data sets, for which corresponding lo...
Timo Koskela, Markus Varsta, Jukka Heikkonen, Kimm...
103
Voted
ESANN
2007
15 years 4 months ago
Clustering a medieval social network by SOM using a kernel based distance measure
Abstract. In order to explore the social organization of a medieval peasant community before the Hundred Years’ War, we propose the use of an adaptation of the well-known Kohonen...
Nathalie Villa, Romain Boulet
98
Voted
ESANN
2004
15 years 4 months ago
Clustering functional data with the SOM algorithm
Abstract. In many situations, high dimensional data can be considered as sampled functions. We show in this paper how to implement a Self-Organizing Map (SOM) on such data by appro...
Fabrice Rossi, Brieuc Conan-Guez, Aïcha El Go...
NN
2006
Springer
15 years 3 months ago
Missing data imputation through GTM as a mixture of t-distributions
The Generative Topographic Mapping (GTM) was originally conceived as a probabilistic alternative to the well-known, neural networkinspired, Self-Organizing Maps. The GTM can also ...
Alfredo Vellido
118
Voted
EUROIMSA
2006
141views Multimedia» more  EUROIMSA 2006»
15 years 4 months ago
Effective Organization and Visualization of Web Search Results
While searching the web, the user is often confronted by a great number of results, generally displayed in a list which is sorted according to the relevance of the results. Facing...
Nicolas Bonnel, Vincent Lemaire, Alexandre Cotarma...