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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=2.1512512512512516
chang_pathbased
0.647
I=9.02002002002002
ppi_mips
0.839
I=5.429729729729731
chang_spiral
0.576
I=7.1313313313313325
astral_40_strsim
0.466
I=4.8684684684684685
astral_40_seqsim_beh
0.514
I=1.491991991991992
fraenti_s3
0.258
I=7.1491491491491495
bone_marrow_fixLabels
0.601
I=1.1979979979979982
fu_flame
0.732
I=7.452052052052053
coli_state
0.625
I=6.552252252252253
coli_find
0.356
I=3.077777777777778
coli_need
0.622
I=8.334034034034035
coli_time
0.513
I=4.458658658658659
gionis_aggregation
0.465
I=1.2247247247247248
veenman_r15
0.255
I=2.418518518518519
zahn_compound
0.497
I=9.118018018018018
synthetic_spirals
0.706
I=3.5054054054054054
synthetic_cassini
0.598
I=7.273873873873875
twonorm_100d
0.705
I=4.146846846846848
twonorm_50d
0.705
I=9.287287287287286
synthetic_cuboid
0.511
I=1.7770770770770772
astral1_161
0.465
I=2.32942942942943
tcga
0.744
I=5.296096096096097
bone_marrow
0.783
I=9.955455455455455
zachary
1.0
I=1.8483483483483483