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» Advances in Self-Organizing Maps
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ECML
2003
Springer
14 years 20 days ago
Evaluation of Topographic Clustering and Its Kernelization
We consider the topographic clustering task and focus on the problem of its evaluation, which enables to perform model selection: topographic clustering algorithms, from the origin...
Marie-Jeanne Lesot, Florence d'Alché-Buc, G...
ESANN
2007
13 years 9 months ago
SOM+EOF for finding missing values
In this paper, a new method for the determination of missing values in temporal databases is presented. This new method is based on two projection methods: a nonlinear one (Self-Or...
Antti Sorjamaa, Paul Merlin, Bertrand Maillet, Ama...
ESANN
2004
13 years 8 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...
ICANN
2005
Springer
14 years 29 days ago
Principles of Employing a Self-organizing Map as a Frequent Itemset Miner
This work proposes a theoretical guideline in the specific area of Frequent Itemset Mining (FIM). It supports the hypothesis that the use of neural network technology for the prob...
Vicente O. Baez-Monroy, Simon O'Keefe
EOR
2006
65views more  EOR 2006»
13 years 7 months ago
Self-organizing maps could improve the classification of Spanish mutual funds
In this paper, we apply nonlinear techniques (Self-Organizing Maps, k-nearest neighbors and the k-means algorithm) to evaluate the official Spanish mutual funds classification. Th...
David Moreno, Paulina Marco, Ignacio Olmeda