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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=2.2136136136136138
chang_pathbased
0.696
I=9.02002002002002
ppi_mips
0.993
I=3.6835835835835837
chang_spiral
0.331
I=5.8306306306306315
astral_40_strsim
0.991
I=8.832932932932934
astral_40_seqsim_beh
0.991
I=1.5632632632632633
fraenti_s3
0.067
I=6.8106106106106115
bone_marrow_fixLabels
0.361
I=1.1979979979979982
fu_flame
0.536
I=9.412012012012012
coli_state
0.391
I=1.2870870870870872
coli_find
0.127
I=4.752652652652652
coli_need
0.387
I=1.108908908908909
coli_time
0.264
I=3.443043043043043
gionis_aggregation
0.217
I=8.6992992992993
veenman_r15
0.065
I=1.3761761761761764
zahn_compound
0.247
I=6.8462462462462454
synthetic_spirals
0.498
I=9.492192192192192
synthetic_cassini
0.357
I=8.512212212212212
twonorm_100d
0.497
I=7.977677677677678
twonorm_50d
0.497
I=5.376276276276276
synthetic_cuboid
0.261
I=3.1668668668668674
astral1_161
0.852
I=8.628028028028028
tcga
0.554
I=6.088988988988989
bone_marrow
0.777
I=9.964364364364364
zachary
1.0
I=1.616716716716717