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Table 5 ACC performance of all methods

From: PCA via joint graph Laplacian and sparse constraint: Identification of differentially expressed genes and sample clustering on gene expression data

Datasets

All-Ge

Z-SPCA

GPower

PathSPCA

SPCArt

gLPCA

gLSPCA

 PAAD

83.09

95.00

95.00

95.00

96.35

95.00

97.22

 HNSC

78.23

75.84

77.51

72.73

75.84

79.43

92.88

  1. Notes: “All-Ge” denotes all features cluster without any dimension reduction processing