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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=2.1957957957957963
chang_pathbased
0.647
I=9.732732732732734
ppi_mips
0.839
I=5.242642642642642
chang_spiral
0.576
I=3.639039039039039
astral_40_strsim
0.466
I=4.8684684684684685
astral_40_seqsim_beh
0.514
I=1.385085085085085
fraenti_s3
0.258
I=8.743843843843845
bone_marrow_fixLabels
0.601
I=1.1979979979979982
fu_flame
0.732
I=2.400700700700701
coli_state
0.625
I=6.418618618618619
coli_find
0.356
I=1.1712712712712714
coli_need
0.622
I=4.1913913913913925
coli_time
0.513
I=2.471971971971972
gionis_aggregation
0.465
I=5.536636636636637
veenman_r15
0.255
I=8.200400400400401
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=9.501101101101101
astral1_161
0.465
I=2.365065065065065
tcga
0.744
I=1.2336336336336338
bone_marrow
0.783
I=9.93763763763764
zachary
1.0
I=1.50980980980981