Add to ORKGThe self organizing map (SOM) [2] is an array of the competing neurons that maps multidimensional spatial data into one or two-dimensional output structure. Such a map can be useful for data clustering and visualization purposes. Below we present short overview of the papers that propose several methods to use SOM with the data that ha
The Self-Organizing Map (SOM) is an unsupervised neural network algorithm that projects high-dimen-s...
International audienceSelf-Organizing Map (SOM) is an artificial neural network tool that is trained...
This is not a mathematical treatise but a guide. It is neither any hand-book of the syntax of comput...
The Self-Organizing Map (SOM) is a neural network algorithm, which uses a competitive learning techn...
The Self-Organizing Maps (SOM) is a very popular algorithm, introduced by Teuvo Kohonen in the early...
We will show that the number of output units used in a self-organizing map (SOM) influences its appl...
. The Self-Organizing Map (SOM) can be used for forming overviews of multivariate data sets and for ...
Self-organizing maps (SOMs) were developed by Teuvo Kohonen in the early eighties. Since then more t...
Kohonen Self Organizing Maps (SOM) has found application in practical all fields, especially those w...
A review of recent development of the self-organising map (SOM) for applications related to data map...
In the article, an additional visualization of self-organizing maps (SOM) has been investigated. The...
The Self-Organizing Map (SOM) is a powerful tool in the exploratory phase of data mining. It is capa...
The Self-Organizing Map (SOM) is a powerful tool in the exploratory phase of data mining. It is capa...
Abstract The Self-Organizing Map (SOM) is a famous algorithm for the unsupervised learning and visua...
The Self-Organizing Map (SOM) is a powerful tool in the exploratory phase of data mining. It is capa...
The Self-Organizing Map (SOM) is an unsupervised neural network algorithm that projects high-dimen-s...
International audienceSelf-Organizing Map (SOM) is an artificial neural network tool that is trained...
This is not a mathematical treatise but a guide. It is neither any hand-book of the syntax of comput...
The Self-Organizing Map (SOM) is a neural network algorithm, which uses a competitive learning techn...
The Self-Organizing Maps (SOM) is a very popular algorithm, introduced by Teuvo Kohonen in the early...
We will show that the number of output units used in a self-organizing map (SOM) influences its appl...
. The Self-Organizing Map (SOM) can be used for forming overviews of multivariate data sets and for ...
Self-organizing maps (SOMs) were developed by Teuvo Kohonen in the early eighties. Since then more t...
Kohonen Self Organizing Maps (SOM) has found application in practical all fields, especially those w...
A review of recent development of the self-organising map (SOM) for applications related to data map...
In the article, an additional visualization of self-organizing maps (SOM) has been investigated. The...
The Self-Organizing Map (SOM) is a powerful tool in the exploratory phase of data mining. It is capa...
The Self-Organizing Map (SOM) is a powerful tool in the exploratory phase of data mining. It is capa...
Abstract The Self-Organizing Map (SOM) is a famous algorithm for the unsupervised learning and visua...
The Self-Organizing Map (SOM) is a powerful tool in the exploratory phase of data mining. It is capa...
The Self-Organizing Map (SOM) is an unsupervised neural network algorithm that projects high-dimen-s...
International audienceSelf-Organizing Map (SOM) is an artificial neural network tool that is trained...
This is not a mathematical treatise but a guide. It is neither any hand-book of the syntax of comput...