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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=9.483283283283283
ppi_mips
0.839
I=4.6813813813813825
chang_spiral
0.576
I=3.05995995995996
astral_40_strsim
0.466
I=4.850650650650651
astral_40_seqsim_beh
0.514
I=1.491991991991992
fraenti_s3
0.258
I=4.850650650650651
bone_marrow_fixLabels
0.601
I=1.1712712712712714
fu_flame
0.732
I=3.8617617617617617
coli_state
0.625
I=1.2959959959959961
coli_find
0.356
I=3.3272272272272274
coli_need
0.622
I=1.108908908908909
coli_time
0.513
I=9.91981981981982
gionis_aggregation
0.465
I=9.875275275275275
veenman_r15
0.255
I=1.1801801801801801
zahn_compound
0.497
I=9.857457457457457
synthetic_spirals
0.706
I=5.3406406406406415
synthetic_cassini
0.598
I=9.857457457457457
twonorm_100d
0.705
I=3.086686686686687
twonorm_50d
0.705
I=8.565665665665666
synthetic_cuboid
0.511
I=5.233733733733733
astral1_161
0.465
I=2.32942942942943
tcga
0.744
I=1.2247247247247248
bone_marrow
0.783
I=9.946546546546546
zachary
1.0
I=1.50980980980981