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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
0.988
I=2.2225225225225227
chang_pathbased
0.647
I=9.144744744744745
ppi_mips
0.839
I=4.583383383383383
chang_spiral
0.576
I=3.4964964964964964
astral_40_strsim
0.466
I=4.85955955955956
astral_40_seqsim_beh
0.514
I=1.491991991991992
fraenti_s3
0.258
I=5.625725725725726
bone_marrow_fixLabels
0.601
I=1.1979979979979982
fu_flame
0.732
I=3.398498498498499
coli_state
0.625
I=1.2959959959959961
coli_find
0.356
I=4.627927927927928
coli_need
0.622
I=1.108908908908909
coli_time
0.513
I=9.91981981981982
gionis_aggregation
0.465
I=9.875275275275275
veenman_r15
0.255
I=1.1801801801801801
zahn_compound
0.497
I=9.857457457457457
synthetic_spirals
0.706
I=1.4474474474474475
synthetic_cassini
0.598
I=8.877477477477479
twonorm_100d
0.705
I=9.349649649649649
twonorm_50d
0.705
I=2.400700700700701
synthetic_cuboid
0.511
I=3.14014014014014
astral1_161
0.465
I=2.3561561561561564
tcga
0.744
I=7.086786786786788
bone_marrow
0.783
I=9.955455455455455
zachary
1.0
I=1.6345345345345346