Mentioned in ?
References in periodicals archive ?
Self-Organizing Map (SOM) is a clustering method considered as an unsupervised variation of the Artificial Neural Network (ANN).
The growing hierarchical self-organizing map, In: Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks.
It provides a set of algorithms including logistic regression, statistical pattern matching, a self-organizing map, a support vector machine and a Gaussian mixture model.
Self-Organizing Map Neural Network for Transient Signal Classification in Mechanical Diagnostics, IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2000, Vol.
While their study demonstrates how a neural network receiving training direction can develop variables to be used in international market screening; this study demonstrates how another type of neural network, a self-organizing map (SOM) using competitive, undirected training, can become a DSS directly involved in the screening process.
In the proposed model the risk characteristics of the beneficiary's health within the same cohort classified by Self-Organizing Map network are highly homogeneous, whereas the numbers of individuals within each cohort remain sufficient to allow further investigation of the causal effect from clustered data.
Keywords: Kohonen's Self-Organizing Map, Feature extraction, Image compression, Global processing, Neural Network.
The Kohonen algorithm is used to create a self-organizing map (SOMs) of a data set that features vectors of twenty-one socioeconomic variables.
10) Data mining comes from analyses of self-organizing map (SOM) networks, one of the most important network architectures developed during the 1980s.
10 Sequences from prokaryotic, eukaryotic, and viral genomes available clustered according to phylotype on a Self-Organizing Map (Takashi Abe, Shigehiko Kanaya, and Toshimichi Ikemura)
Self-organizing map (SOM) is an ANN method for clustering known as unsupervised learning.
Abstract: This paper presents the application of a self-organizing map (SOM) model for the reconstruction of cerebral cortex from MRI images.

Full browser ?