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clustering evaluation framework
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Markov Clustering
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Best Parameters
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General
Best Qualities
Best Parameters
Hints:
Which parameter sets lead to the optimal clustering quality?
Please choose a clustering quality measure:
Davies Bouldin Index (R)
Dunn Index (R)
F1-Score
F2-Score
False Discovery Rate
False Positive Rate
Fowlkes Mallows Index (R)
Jaccard Index (R)
Rand Index
Rand Index (R)
Sensitivity
Silhouette Value (R)
Specificity
V-Measure
Dataset
Best quality
Parameter set
brown
0.948
I=1.67017017017017
chang_pathbased
0.742
I=9.964364364364364
ppi_mips
0.888
I=4.975375375375375
chang_spiral
0.714
I=4.44974974974975
astral_40_strsim
0.675
I=4.494294294294295
astral_40_seqsim_beh
0.613
I=1.3138138138138138
fraenti_s3
0.263
I=6.445345345345345
bone_marrow_fixLabels
0.731
I=1.2247247247247248
fu_flame
0.841
I=2.400700700700701
coli_state
0.698
I=1.2959959959959961
coli_find
0.394
I=8.77947947947948
coli_need
0.739
I=1.108908908908909
coli_time
0.597
I=9.91981981981982
gionis_aggregation
0.543
I=9.875275275275275
veenman_r15
0.263
I=1.1801801801801801
zahn_compound
0.578
I=9.857457457457457
synthetic_spirals
0.833
I=5.3406406406406415
synthetic_cassini
0.726
I=3.3361361361361364
twonorm_100d
0.833
I=5.527727727727728
twonorm_50d
0.833
I=5.296096096096097
synthetic_cuboid
0.635
I=9.412012012012012
astral1_161
0.651
I=2.32942942942943
tcga
0.806
I=3.7637637637637638
bone_marrow
0.875
I=9.946546546546546
zachary
1.0
I=1.8483483483483483