Multi-SOM: an Algorithm for High-Dimensional, Small Size Datasets

Multi-SOM: an Algorithm for High-Dimensional, Small Size Datasets

Since it takes time to do experiments in bioinformatics, biological datasets are sometimes small but with high dimensionality. From probability theory, in order to discover knowledge from a set of data, we have to have a sufficient number of samples. Otherwise, the error bounds can become too large...

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Bibliographic Details
Main Authors:	Shen Lu, Richard S. Segall
Format:	Article
Language:	English
Published:	International Institute of Informatics and Cybernetics 2013-04-01
Series:	Journal of Systemics, Cybernetics and Informatics
Subjects:	Weights Vector Sample Selection Bayesian Decision Theory Feature selection Self-Organizing Maps
Online Access:	http://www.iiisci.org/Journal/CV$/sci/pdfs/ISA619SF.pdf

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