The New and Computationally Efficient MIL-SOM Algorithm: Potential Benefits for Visualization and Analysis of a Large-Scale High-Dimensional Clinically Acquired Geographic Data

The objective of this paper is to introduce an efficient algorithm, namely, the mathematically improved learning-self organizing map (MIL-SOM) algorithm, which speeds up the self-organizing map (SOM) training process. In the proposed MIL-SOM algorithm, the weights of Kohonen's SOM are based on...

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Detalles Bibliográficos
Autores principales: Oyana, Tonny J., Achenie, Luke E. K., Heo, Joon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3314187/
https://www.ncbi.nlm.nih.gov/pubmed/22481977
http://dx.doi.org/10.1155/2012/683265

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3314187/
https://www.ncbi.nlm.nih.gov/pubmed/22481977
http://dx.doi.org/10.1155/2012/683265

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