Skip to search formSkip to main contentSkip to account menu

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

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2010
Highly Cited
2010
MOTIVATION Scoring functions provided by the docking software are still a major limiting factor in virtual screening (VS) process… 
Highly Cited
2007
Highly Cited
2007
This publication describes the MASSCOTE methodology, illustrated by several applications in Asia. MASSCOTE is a comprehensive… 
Highly Cited
2005
Highly Cited
2005
This paper proposes an extension of the self-organizing map (SOM), in which the mapping objects themselves are self-organizing… 
Highly Cited
2005
Highly Cited
2005
Self-organizing map (SOM) is an approach of nonlinear dimension reduction and can be used for visualization. It only preserves… 
Highly Cited
2004
Highly Cited
2004
Assessment of particulate (>53-μm) and mineral-associated (<53-μm) soil organic matter (SOM) fractions is a useful approach to… 
Highly Cited
2003
Highly Cited
2003
Low‐frequency oscillations (<0.08 Hz) have been detected in functional MRI studies, and appear to be synchronized between… 
Highly Cited
2003
Highly Cited
2003
An unsupervised self-organizing map-based clustering strategy has been developed to classify tissue samples from an… 
Highly Cited
1997
Highly Cited
1997
A modified self-organizing map with nonlinear weight adjustments has been applied to reduce the number of breast biopsies…