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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

DatasetsAll-GeZ-SPCAGPowerPathSPCASPCArtgLPCAgLSPCA
 PAAD83.0995.0095.0095.0096.3595.0097.22
 HNSC78.2375.8477.5172.7375.8479.4392.88
  1. Notes: “All-Ge” denotes all features cluster without any dimension reduction processing