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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