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Table 1 Confusion matrix when applying KTD-based unsupervised FE to a synthetic dataset (\(N=1000,N_1=10,M=10,K=3\))

From: Novel feature selection method via kernel tensor decomposition for improved multi-omics data analysis

  Adjusted \(P_i \le 0.01\) Adjusted \(P_i > 0.01\)
\(i \le N_1\) 7.06 2.94
\(i > N_1\) 0.04 989.96