Efficient Classification of Cancer using Support Vector Machines and Modified Extreme Learning Machine based on Analysis of Variance Features

@article{Bharathi2011EfficientCO,
  title={Efficient Classification of Cancer using Support Vector Machines and Modified Extreme Learning Machine based on Analysis of Variance Features},
  author={A. Bharathi and Aravindhraj Natarajan},
  journal={American Journal of Applied Sciences},
  year={2011},
  volume={8},
  pages={1295-1301}
}
Problem statement: The primary objective is to propose efficient cancer classification techniques which provide reliable and significant classification accuracy. To achieve this primary research goal is to find the smallest set of genes that can ensure high accuracy in classification using supervised machine learning algorithms. The significance of finding the minimum subset is three fold: (a) The computational burden and noise arising from irrelevant genes are much reduced; (b) the cost for… Expand
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