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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=2.1512512512512516
chang_pathbased
0.647
I=9.260560560560561
ppi_mips
0.839
I=3.941941941941942
chang_spiral
0.576
I=5.082282282282283
astral_40_strsim
0.466
I=4.85955955955956
astral_40_seqsim_beh
0.514
I=1.385085085085085
fraenti_s3
0.258
I=8.6992992992993
bone_marrow_fixLabels
0.601
I=1.126726726726727
fu_flame
0.732
I=3.8617617617617617
coli_state
0.625
I=1.2959959959959961
coli_find
0.356
I=2.142342342342342
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=2.454154154154154
synthetic_cassini
0.598
I=4.547747747747748
twonorm_100d
0.705
I=2.2403403403403406
twonorm_50d
0.705
I=8.565665665665666
synthetic_cuboid
0.511
I=8.895295295295295
astral1_161
0.465
I=2.32942942942943
tcga
0.744
I=1.2247247247247248
bone_marrow
0.783
I=9.93763763763764
zachary
1.0
I=1.9552552552552553