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Self-Organizing Map

Known as: SOM 
A data visualization technique which reduces the dimensions of data through the use of self-organizing neural networks. SOMs scale well to large data… 
National Institutes of Health

Papers overview

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2015
2015
A new method based on convolution kernel compensation (CKC) for decomposing multi-channel surface electromyogram (sEMG) signals… 
2013
2013
Face recognition (FR) is a challenging issue due to variations in pose, illumination, and expression. The search results for most… 
2013
2013
Data clustering is one of the most important data mining techniques which groups data supported on their similarity. A number of… 
Review
2011
Review
2011
Nobody can avoid becoming old and all of us will be faced with accidents and illnesses during our life time. Many surveys have… 
2011
2011
Es besteht ein hohes Interesse an Techniken zur Analyse von Anwendungslandschaften. Im Sinne eines Portfoliomanagements sind für… 
2010
2010
Author: Muhammed Arif Okur Title: Neural Network Fatigue Life Prediction in Notched Aluminum Specimens from Acoustic Emission… 
2008
2008
Despite all the standardization efforts made, medical diagnosis is still regarded as an art owing to the fact that that medical… 
2007
2007
That the space differentiations of regional development are very important to the policy enforcement of a region.Take Guangdong… 
2001
2001
  • Samuel Kaski
  • 2001
  • Corpus ID: 58791845
Visualization and cluster analysis of multivariate data is usually based on distances between samples in a data space. The…