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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
0.976
I=2.2225225225225227
chang_pathbased
0.464
I=9.804004004004005
ppi_mips
0.705
I=3.719219219219219
chang_spiral
0.331
I=7.175875875875876
astral_40_strsim
0.294
I=6.4008008008008
astral_40_seqsim_beh
0.332
I=1.402902902902903
fraenti_s3
0.067
I=3.184684684684685
bone_marrow_fixLabels
0.361
I=1.1979979979979982
fu_flame
0.536
I=2.0265265265265264
coli_state
0.391
I=4.583383383383383
coli_find
0.127
I=2.6857857857857863
coli_need
0.387
I=5.01991991991992
coli_time
0.264
I=1.1623623623623625
gionis_aggregation
0.217
I=5.34954954954955
veenman_r15
0.065
I=8.485485485485485
zahn_compound
0.247
I=8.824024024024025
synthetic_spirals
0.498
I=3.977577577577578
synthetic_cassini
0.357
I=5.01991991991992
twonorm_100d
0.497
I=3.1935935935935937
twonorm_50d
0.497
I=2.4096096096096096
synthetic_cuboid
0.261
I=7.104604604604605
astral1_161
0.295
I=3.443043043043043
tcga
0.554
I=1.2870870870870872
bone_marrow
0.62
I=9.955455455455455
zachary
1.0
I=1.8483483483483483