Neural network world: Optimized spiral spherical SOM (OSS-SOM)

Title:

Neural network world: Optimized spiral spherical SOM (OSS-SOM)

Creator:

Jagric, Timotej and Zunko, Matjaz

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:b4d97c24-6469-4fd6-a48f-de6e9a632435
uuid:b4d97c24-6469-4fd6-a48f-de6e9a632435
doi:10.14311/NNW.2013.23.025

Subject:

Self-organizing map, spherical SOM, border effect, and topology

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

The border effect is one of the problems, which can appear in the application of self-organizing maps (SOM). Different solutions were presented in the literature, but each of them has its drawbacks. In this paper we present a new method for overcoming the border effect - optimized spiral spherical SOM. We also show that standard measure of irregularity is not appropriate and present a modified version - Gaussian measure of irregularity. Our simulations suggest that the new variant of SOM achieves extremely low values of irregularity in comparison to other methods. At the end of the paper we present a software solution for the proposed method.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2013 Volume:23 | Number:5

Harvested from:

CDK

Metadata only:

false