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CORR
2007
Springer
104views Education» more  CORR 2007»
14 years 9 months ago
The Parameter-Less Self-Organizing Map algorithm
—The parameterless self-organizing map (PLSOM) is a new neural network algorithm based on the self-organizing map (SOM). It eliminates the need for a learning rate and annealing ...
Erik Berglund, Joaquin Sitte
IJCNN
2008
IEEE
15 years 4 months ago
Batch-Learning Self-Organizing Map with false-neighbor degree between neurons
Abstract— This study proposes a Batch-Learning SelfOrganizing Map with False-Neighbor degree between neurons (called BL-FNSOM). False-neighbor degrees are allocated between adjac...
Haruna Matsushita, Yoshifumi Nishio
IFGIS
2009
Springer
15 years 4 months ago
Application of Self-Organizing Maps to the Maritime Environment
Self-Organizing Maps (SOMs), or Kohonen networks, are widely used neural network architecture. This paper starts with a brief overview of how SOMs can be used in different types of...
Victor Sousa Lobo
IPPS
2003
IEEE
15 years 3 months ago
Gene Clustering Using Self-Organizing Maps and Particle Swarm Optimization
Gene clustering, the process of grouping related genes in the same cluster, is at the foundation of different genomic studies that aim at analyzing the function of genes. Microarr...
Xiang Xiao, Ernst R. Dow, Russell C. Eberhart, Zin...
ESANN
2000
14 years 11 months ago
Bootstrapping Self-Organizing Maps to assess the statistical significance of local proximity
One of the attractive feature of Self-Organizing Maps (SOM) is the so-called "topological preservation property": observations that are close to each other in the input s...
Eric de Bodt, Marie Cottrell