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… (More)

Topic mentions per year

Topic mentions per year

1976-2018
05010019762018

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2007
2007
As a typical data visualization technique, self-organizing map (SOM) has been extensively applied to data clustering, image… (More)
  • figure 2
  • figure 3
  • figure 4
  • figure 5
  • figure 6
Is this relevant?
2006
2006
The self-organizing map (SOM) is an unsupervised neural network which projects high-dimensional data onto a low-dimensional grid… (More)
  • figure 2
  • figure 1
  • figure 3
  • figure 4
  • table I
Is this relevant?
Highly Cited
2002
Highly Cited
2002
This paper explores the combination of self-organizing map (SOM) and feedback, in order to represent sequences of inputs. In… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2000
Highly Cited
2000
The self-organizing map (SOM) is an excellent tool in exploratory phase of data mining. It projects input space on prototypes of… (More)
  • table I
  • figure 1
  • figure 2
  • table II
  • figure 3
Is this relevant?
Highly Cited
2000
Highly Cited
2000
The growing self-organizing map (GSOM) has been presented as an extended version of the self-organizing map (SOM), which has… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2000
Highly Cited
2000
The self-organizing map (SOM) network was originally designed for solving problems that involve tasks such as clustering… (More)
  • figure 1
  • table 1
  • figure 2
  • figure 3
  • figure 3
Is this relevant?
Highly Cited
1999
Highly Cited
1999
The Self-Organizing Map (SOM) is a vector quantization method which places the prototype vectors on a regular low-dimensional… (More)
  • figure 2
  • figure 3
  • figure 5
  • figure 6
  • figure 7
Is this relevant?
Highly Cited
1999
Highly Cited
1999
DNA microarray technologies together with rapidly increasing genomic sequence information is leading to an explosion in available… (More)
  • figure 1
  • figure 2
Is this relevant?
Highly Cited
1999
Highly Cited
1999
We propose a new type of Self-Organizing Map (SOM) that is based on discretizations of curved, non-euclidean spaces. As an… (More)
  • figure 1
  • figure 2
Is this relevant?
Highly Cited
1999
Highly Cited
1999
We derive an efficient algorithm for topographic mapping of proximity data (TMP), which can be seen as an extension of Kohonen's… (More)
Is this relevant?