A Novel Hybrid Dimension Reduction Technique for Undersized High Dimensional Gene Expression Data Sets Using Information Complexity Criterion for Cancer Classification

<div>The eigenvalues for MLE and ME covariance matrices and their hybridizations with other smoothed covariance matrices.</div>

Computational and Mathematical Methods in Medicine

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Figure 1

Figure 1: A Novel Hybrid Dimension Reduction Technique for Undersized High Dimensional Gene Expression Data Sets Using Information Complexity Criterion for Cancer Classification 

Figure 1 | A Novel Hybrid Dimension Reduction Technique for Undersized High Dimensional Gene Expression Data Sets Using Information Complexity Criterion for Cancer Classification 