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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=2.1868868868868865
chang_pathbased
0.647
I=9.955455455455455
ppi_mips
0.839
I=4.52992992992993
chang_spiral
0.576
I=3.6835835835835837
astral_40_strsim
0.466
I=4.85955955955956
astral_40_seqsim_beh
0.514
I=1.385085085085085
fraenti_s3
0.258
I=6.908608608608609
bone_marrow_fixLabels
0.601
I=1.1979979979979982
fu_flame
0.732
I=3.8617617617617617
coli_state
0.625
I=9.118018018018018
coli_find
0.356
I=9.902002002002002
coli_need
0.622
I=6.6324324324324335
coli_time
0.513
I=2.9441441441441443
gionis_aggregation
0.465
I=8.102402402402403
veenman_r15
0.255
I=6.026626626626627
zahn_compound
0.497
I=9.144744744744745
synthetic_spirals
0.706
I=2.400700700700701
synthetic_cassini
0.598
I=5.607907907907909
twonorm_100d
0.705
I=8.503303303303305
twonorm_50d
0.705
I=6.917517517517518
synthetic_cuboid
0.511
I=6.507707707707708
astral1_161
0.465
I=2.365065065065065
tcga
0.744
I=1.2336336336336338
bone_marrow
0.783
I=9.955455455455455
zachary
1.0
I=1.50980980980981