Feature Dimensionality vs. Distribution of Sample Types: A Preliminary Study on Gene-Expression Microarrays

n gene-expression microarray data sets each sample is defined by hundreds or thousands of measurements. High- dimensionality data spaces have been reported as a significant obstacle to apply machine learning algorithms, owing to the associated phenomenon called ‘curse of dimensionality’. The analysi...

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Main Author: Sánchez Garreta, José Salvador
Other Authors: Garcia, Vicente
Format: Memoria in extenso
Language: en_US
Published: AEPIA 2018
Online Access: http://cathi.uacj.mx/20.500.11961/4510
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