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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
0.995
I=2.2225225225225227
chang_pathbased
0.696
I=9.118018018018018
ppi_mips
0.993
I=5.055555555555555
chang_spiral
0.331
I=1.7325325325325327
astral_40_strsim
0.991
I=8.832932932932934
astral_40_seqsim_beh
0.991
I=1.5632632632632633
fraenti_s3
0.067
I=6.8106106106106115
bone_marrow_fixLabels
0.361
I=1.1979979979979982
fu_flame
0.536
I=2.365065065065065
coli_state
0.391
I=5.109009009009009
coli_find
0.127
I=3.647947947947948
coli_need
0.387
I=6.57007007007007
coli_time
0.264
I=2.249249249249249
gionis_aggregation
0.217
I=8.102402402402403
veenman_r15
0.065
I=5.01991991991992
zahn_compound
0.247
I=2.7748748748748753
synthetic_spirals
0.498
I=8.432032032032032
synthetic_cassini
0.357
I=3.3450450450450453
twonorm_100d
0.497
I=9.884184184184184
twonorm_50d
0.497
I=9.616916916916916
synthetic_cuboid
0.261
I=5.750450450450451
astral1_161
0.852
I=8.663663663663664
tcga
0.554
I=2.890690690690691
bone_marrow
0.777
I=10.0
zachary
1.0
I=1.8483483483483483