Self-organizing map

Kohonen's Self-Organizing Map (SOM)
Kohonon's SOMs are a type of unsupervised learning. The goal is to discover some underlying structure of the data.

Self-organizing map
The Self-organizing map (SOM), sometimes referred to as "Kohonen map" due to its invention by Professor Teuvo Kohonen, ...

Self-Organizing Maps and Learning Vector Quantization for Feature Sequences, Somervuo and Kohonen. 2004 (pdf)
Classification of Textual Documents using LVQ, Fahad and Sikander. 2007 (pdf)
[edit] External links ...

Chapter 9 Self-Organizing Maps 425
9.1 Introduction 425
9.2 Two Basic Feature-Mapping Models 426
9.3 Self-Organizing Map 428
9.4 Properties of the Feature Map 437
9.5 Computer Experiments I: Disentangling Lattice Dynamics Using SOM 445
9.

Ahmed and Farag (1998) uses two self-organizing maps (SOM) in two stages, self-organizing principal components analysis (SOPCA) and self-organizing feature map (SOFM) for automatic volume segmentation of medical images.

Gene prediction using the Self-Organizing Map: automatic generation of multiple gene models. By Shaun Mahony, James O. McInerney,Terry J. Smith, and Aaron Golden. BMC Bioinformatics. 2004; 5 (1): 23 / available from PubMed Central. .

This is a fairly easy to follow paper that shows the transformations that have to be done for financial data (currency fluctuations) including the use of a self-organizing map.

5.1.1 Feedforward, Back-Propagation.
5.1.2 Delta Bar Delta.
5.1.3 Extended Delta Bar Delta.
5.1.4 Directed Random Search.
5.1.5 Higher-order Neural Network or Functional-link Network.
5.1.6 Self-Organizing Map into Back-Propagation.

assigns the highest probability to the data after all parameters have been integrated out. See my research demo page. Also see "Bayesian Interpolation", "Automatic choice of dimensionality for PCA", "Hyperparameter Selection for Self-Organizing Maps", ...

In the next section, we shall formalize some of the definitions presented in this section, and shall look at the mathematics of the topology-preserving map. Henceforth, we shall refer to the topology-preserving map as a self-organizing map (SOM).

See also: Self-organizing, Neural network, Machine learning, Knowledge, SOM