Clustering-Based Feature Selection Framework for Microarray Data
Published in International Journal of Performability Engineering • Jan 1, 2017
NobleIDNI1P10W47R63S55
Authors:
Smita Chormunge
Abstract
Gene's expression data contains hundreds to thousands of features. It is challenging for machine learning algorithms to find the relevant information from such huge and correlated data. Irrelevant and redundant features are computationally costly and decrease the accuracy of machine learning algorit...
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