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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=2.204704704704705
chang_pathbased
0.696
I=9.011111111111111
ppi_mips
0.993
I=4.841741741741742
chang_spiral
0.331
I=3.1312312312312316
astral_40_strsim
0.991
I=8.824024024024025
astral_40_seqsim_beh
0.991
I=1.5721721721721722
fraenti_s3
0.067
I=6.578978978978979
bone_marrow_fixLabels
0.361
I=1.117817817817818
fu_flame
0.536
I=9.198198198198199
coli_state
0.391
I=6.881881881881882
coli_find
0.127
I=4.022122122122123
coli_need
0.387
I=9.118018018018018
coli_time
0.264
I=6.365165165165166
gionis_aggregation
0.217
I=8.832932932932934
veenman_r15
0.065
I=4.262662662662662
zahn_compound
0.247
I=3.380680680680681
synthetic_spirals
0.498
I=8.432032032032032
synthetic_cassini
0.357
I=5.803903903903905
twonorm_100d
0.497
I=5.8484484484484485
twonorm_50d
0.497
I=5.9998998998999
synthetic_cuboid
0.261
I=1.1623623623623625
astral1_161
0.852
I=8.628028028028028
tcga
0.554
I=3.149049049049049
bone_marrow
0.777
I=9.955455455455455
zachary
1.0
I=1.8305305305305308