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EOR
2006
65views more  EOR 2006»
13 years 11 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
ICANN
2005
Springer
14 years 4 months 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
IJON
2002
84views more  IJON 2002»
13 years 10 months ago
On the generative probability density model in the self-organizing map
The Self-Organizing Map, SOM, is a widely used tool in exploratory data analysis. A major drawback of the SOM has been the lack of a theoretically justified criterion for model se...
Timo Kostiainen, Jouko Lampinen
ESANN
2003
14 years 14 days ago
Locally Linear Embedding versus Isotop
Abstract. Recently, a new method intended to realize conformal mappings has been published. Called Locally Linear Embedding (LLE), this method can map high-dimensional data lying o...
John Aldo Lee, Cédric Archambeau, Michel Ve...
ICPR
2006
IEEE
15 years 5 days ago
Texture Edge Detection using Multi-resolution Features and SOM
Texture boundaries or edges are useful information for segmenting a texture image. We propose a texture edge detection algorithm using a bank of 1-D multi-channel, multiresolution...
Lalit Gupta, Sukhendu Das