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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=2.249249249249249
chang_pathbased
0.696
I=9.527827827827828
ppi_mips
0.993
I=3.7637637637637638
chang_spiral
0.331
I=6.899699699699701
astral_40_strsim
0.991
I=8.824024024024025
astral_40_seqsim_beh
0.991
I=1.5721721721721722
fraenti_s3
0.067
I=3.1935935935935937
bone_marrow_fixLabels
0.361
I=1.1979979979979982
fu_flame
0.536
I=3.2203203203203206
coli_state
0.391
I=6.694794794794795
coli_find
0.127
I=8.815115115115116
coli_need
0.387
I=8.628028028028028
coli_time
0.264
I=3.487587587587588
gionis_aggregation
0.217
I=3.8083083083083085
veenman_r15
0.065
I=6.258258258258258
zahn_compound
0.247
I=5.857357357357357
synthetic_spirals
0.498
I=8.984384384384384
synthetic_cassini
0.357
I=9.804004004004005
twonorm_100d
0.497
I=9.732732732732734
twonorm_50d
0.497
I=2.463063063063063
synthetic_cuboid
0.261
I=6.8462462462462454
astral1_161
0.852
I=8.628028028028028
tcga
0.554
I=4.235935935935936
bone_marrow
0.777
I=9.955455455455455
zachary
1.0
I=1.8483483483483483