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Table 2 Average ranks based on macro-accuracy

From: Single cell RNA-seq data clustering using TF-IDF based methods

Methods M Nc R N M N R Nc B Nk B Mc 7-class Pancreas Avg.
Seurat 8.2 8.0 18.8 24.2 1.0 26.4 27.2 10.0 15.5
Seurat_SNN 9.0 9.2 18.0 19.4 1.0 27.0 27.0 3.5 14.3
tSNE_Kmeans 24.2 24.0 9.0 14.8 22.4 26.6 11.6 18.5 18.9
tSNE_HC_E 24.4 24.8 9.4 18.2 6.2 10.4 9.2 20.0 15.3
Log_PCA_GMM 20.4 6.4 3.0 4.8 1.0 1.0 4.4 14.0 6.9
Log_PCA_Kmeans 27.2 27.4 26.6 26.8 1.0 1.0 7.6 16.0 16.7
Log_PCA_HC_E 27.2 24.8 22.0 24.6 1.0 1.0 4.8 13.5 14.9
Log_PCA_HC_P 25.8 23.8 17.8 20.6 16.2 5.6 2.4 18.0 16.3
Log_Louvain_E 23.0 25.6 20.8 14.2 15.0 5.8 10.6 14.5 16.2
TF-IDF_Top_Kmeans 9.6 13.4 18.6 13.6 1.0 1.0 9.6 18.5 10.7
TF-IDF_Top_sKmeans 4.2 9.4 8.0 6.2 1.0 1.0 8.6 12.5 6.4
TF-IDF_Top_HC_E 21.4 19.2 25.6 23.6 1.0 1.0 17.4 13.0 15.3
TF-IDF_Top_HC_P 17.6 17.4 20.4 20.6 1.0 1.0 18.2 11.5 13.5
TF-IDF_Top_HC_C 17.0 16.2 20.6 21.2 1.0 1.0 20.4 12.5 13.7
TF-IDF_Var_Kmeans 12.0 21.0 27.4 27.6 19.6 19.0 26.4 24.0 22.1
TF-IDF_Var_sKmeans 11.8 18.0 23.4 18.6 1.0 1.0 21.6 2.5 12.2
TF-IDF_Bin_HC_E 20.2 22.2 19.8 16.6 1.0 1.0 19.2 21.0 15.1
TF-IDF_Bin_HC_P 15.4 13.2 12.0 12.2 1.0 1.0 8.4 4.5 8.5
TF-IDF_Bin_HC_C 15.8 15.2 13.2 11.4 1.0 1.0 10.8 5.5 9.2
TF-IDF_Bin_HC_J 17.8 15.8 14.0 12.8 1.0 1.0 13.0 12.0 10.9
TF-IDF_Bin_Greedy_E 7.0 5.2 5.4 4.8 20.0 1.0 23.0 27.0 11.7
TF-IDF_Bin_Greedy_P 3.8 4.2 4.4 2.2 1.0 9.8 19.2 11.0 7.0
TF-IDF_Bin_Greedy_C 4.8 5.0 5.6 3.2 1.0 9.8 19.4 26.5 9.4
TF-IDF_Bin_Greedy_J 13.8 10.2 11.0 6.2 10.2 1.0 16.2 22.0 11.3
TF-IDF_Bin_Louvain_E 4.4 2.6 3.4 6.4 1.0 1.0 4.2 16.0 4.9
TF-IDF_Bin_Louvain_P 1.2 3.4 2.4 2.4 10.0 1.0 11.2 4.0 4.5
TF-IDF_Bin_Louvain_C 1.0 3.0 1.8 2.4 5.2 1.0 1.2 11.5 3.4
TF-IDF_Bin_Louvain_J 9.4 8.2 9.8 5.4 5.6 1.0 12.0 6.5 7.2
  1. The lowest five average ranks (including ties) for each dataset are typeset in bold, and the best overall average rank is shown in italic