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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=2.204704704704705
chang_pathbased
0.696
I=9.171471471471472
ppi_mips
0.993
I=4.841741741741742
chang_spiral
0.331
I=8.895295295295295
astral_40_strsim
0.991
I=8.824024024024025
astral_40_seqsim_beh
0.991
I=1.598898898898899
fraenti_s3
0.067
I=6.899699699699701
bone_marrow_fixLabels
0.361
I=1.1979979979979982
fu_flame
0.536
I=2.0443443443443443
coli_state
0.391
I=9.75945945945946
coli_find
0.127
I=2.142342342342342
coli_need
0.387
I=2.3561561561561564
coli_time
0.264
I=5.492092092092093
gionis_aggregation
0.217
I=3.8083083083083085
veenman_r15
0.065
I=3.888488488488489
zahn_compound
0.247
I=4.93973973973974
synthetic_spirals
0.498
I=8.984384384384384
synthetic_cassini
0.357
I=3.3450450450450453
twonorm_100d
0.497
I=5.536636636636637
twonorm_50d
0.497
I=9.777277277277276
synthetic_cuboid
0.261
I=3.5232232232232237
astral1_161
0.852
I=8.663663663663664
tcga
0.554
I=2.017617617617618
bone_marrow
0.777
I=9.93763763763764
zachary
1.0
I=1.8305305305305308