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Table 1 The clustering performances obtained by different methods in ovarian cancer

From: Deep learning-based ovarian cancer subtypes identification using multi-omics data

  silhouette scores DBI
K-means 0.165 1.859
Hierarchical clustering 0.310 1.594
PCA- kmeans 0.378 1.502
KPCA-kmeans 0.475 0.702
SparseK 0.513 0.681
iCluster 0.528 0.657
AE-kmeans 0.549 0.621
DAE-kmeans 0.583 0.562
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